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Advanced Probability Theory: Second Edition, Revised and Expanded
J. Galambos1995
Review of basic concepts; expectation and integral, weak and strong convergence; transforms of distribution; infinite sequences of independent random variables; weak convergence; triangular arrays of independent random variables, infinitely divisible distributions; indipendent and identically distributed random variables; conditional exceptions; martingales; topics in the theory of stochastic processes; hints for solutions of exercises.
MARCEL DEKKER - TAYLOR & FRANCIS & FRANCHISBN: 0824793323   PGS: 490List: 119.95     YOUR PRICE: 113.95
Advances on Methodological and Applied Aspects of Probability and Statistics
Balakrishnan, N.2003
Figures Part I: Applied Probability. Part II: Models and Applications. Part III: Estimation and Testing. Part IV: Robust Inference. Part V: Regression and Design. Part VI: Sample Size Methodology. Part VII: Applications to Industry. Part VIII: Applications to Ecology, Biology and Health. Part IX: Applications to Economics and Management.
CRC - TAYLOR & FRANCISHISBN: 1560329807   PGS: N/AList: 157.95     YOUR PRICE: 150.05
Advances on Theoretical and Methodological Aspects of Probability and Statistics
Balakrishnan, N.2003
Processes and Inference. Distributions and Characterizations. Inference. Bayesian Inference. Selection Methods. Regression Methods. Methods in Health Research.
CRC - TAYLOR & FRANCISHISBN: 1560329815   PGS: N/AList: 157.95     YOUR PRICE: 150.05
Analysis of Binary Data, Second Edition
Cox, D.R. EDITION:1989
The first edition of this book (1970) set out a systematic basis for the analysis of binary data and in particular for the study of how the probability of 'success' depends on explanatory variables. The first edition has been widely used and the general level and style have been preserved in the second edition, which contains a substantial amount of new material. This amplifies matters dealt with only cryptically in the first edition and includes many more recent developments. In addition the whole material has been reorganized, in particular to put more emphasis on m.aximum likelihood methods.There are nearly 60 further results and exercises. The main points are illustrated by practical examples, many of them not in the first edition, and some general essential background material is set out in new Appendices.
Chapman & Hall/CRC - TAYLOR & FRANCIS &HISBN: 0412306204   PGS: 240List: 146.95     YOUR PRICE: 139.60
Analysis of Failure and Survival Data
Smith, Peter J.2002
SURVIVAL DISTRIBUTIONS Basic Concepts Survival Functions Using Data to Estimate the Survival Function Mean Time to Failure Towards the Hazard Function Life Expectancy at Age t HAZARD MODELS The Constant Hazard Model The Power Hazard Model\ Exponential Hazards Other Hazards IFR RELIABILITY OF SYSTEMS Coherent Systems and Structure Functions Simple Reliability Independent Components Paths and Cuts Associated Components Time Dependent Reliability DATA PLOTS Empirical Survivor Function Sample Quantile Function Probability Plots Hazard Plots CENSORING AND LIFETABLES Truncation Type I Censoring Type II Censoring Lifetable Estimates Greenwood's Formula THE PRODUCT-LIMIT ESTIMATOR Notation Self-Consistency Standard Errors Redistribute-to-the-Right Algorithm Hazard Plotting QQ-Plots for Censored Data PARAMETRIC SURVIVAL MODELS UNDER CENSORING Likelihood: Type I Censoring Likelihood: Type II Censoring Likelihood: Random Censoring Maximum Likelihood Procedures The Exponential Model The Weibull Model PARAMETRIC REGRESSION MODELS Basic Concepts of Proportional Hazards Proportional Hazards for Weibull Data Basic Concepts of Accelerated Lifetimes Accelerated Lifetimes for Weibull Data Diagnostics for Choosing Between Models Model Fitting COX PROPORTIONAL HAZARDS The Cox Model Maximum Likelihood Procedures P = 1 and the Log-Rank Test Estimating Baseline Survival LINEAR REGRESSION WITH CENSORED DATA Introduction Miller's Method Koul-Susarla-Van Ryzin Estimators Buckley-James Regression Methods Multivariate Designs Properties of Buckley-James Estimators Renovation and Least Squares BUCKLEY-JAMES DIAGNOSTICS AND APPLICATIONS Censored Regression Diagnostics Applications to Heart Transplant Data Plots of Renovated Data Each chapter also contains exercises.
Chapman & Hall/CRC - TAYLOR & FRANCIS &SISBN: 1584880759   PGS: 264List: 88.95     YOUR PRICE: 84.50
Analysis of Quantal Response Data
Morgan, Byron J.T.1992
This book takes the standard methods as the starting point, and then describes a wide range of relatively new approaches and procedures designed to deal with more complicated data and experiments - including much recent research in the area. Throughout mention is given to the computing requirements - facilities available in large computing packages like BMDP, SAS and SPSS are also described.
Chapman & Hall/CRC - TAYLOR & FRANCIS &HISBN: 0412317508   PGS: 512List: 152.95     YOUR PRICE: 145.30
APPLIED OPTIMAL ESTIMATION
Gelb, Arthur, Ed.1974
Contents: Review of Underlying Mathematical Techniques; Linear Dynamic Systems; Optimal Linear Filtering; Optimal Linear Smoothing; Nonlinear Estimation; Suboptimal Filter Design & Sensitivity Analysis; Implementation Considerations; Additional Topics.
MIT PRESSSISBN: 0262570483   PGS: 374List: 34.95     YOUR PRICE: 34.95
Classical Competing Risks
Crowder, Martin J.2001
CONTINUOUS FAILURE TIMES AND THEIR CAUSES Basic Probability Functions Some Small Data Sets Hazard Functions Regression Models PARAMETRIC LIKELIHOOD INFERENCE The Likelihood for Competing Risks Model Checking Inference Some Examples Masked Systems LATENT FAILURE TIMES: PROBABILITY DISTRIBUTIONS Basic Probability Functions Some Examples Marginal vs. Sub-Distributions Independent Risks A Risk-Removal Model LIKELIHOOD FUNCTIONS FOR UNIVARIATE SURVIVAL DATA Discrete and Continuous Failure Times Discrete Failure Times: Estimation Continuous Failure Times: Random Samples Continuous Failure Times: Explanatory Variables Discrete Failure Times Again Time-Dependent Covariates DISCRETE FAILURE TIMES IN COMPETING RISKS Basic Probability Functions Latent Failure Times Some Examples Based on Bernoulli Trials Likelihood Functions HAZARD-BASED METHODS FOR CONTINUOUS FAILURE TIMES Latent Failure Times vs. Hazard Modelling Some Examples of Hazard Modelling Nonparametric Methods for Random Samples Proportional Hazards and Partial Likelihood LATENT FAILURE TIMES: IDENTIFIABILITY CRISES The Cox-Tsiatis Impasse More General Identifiability Results Specified Marginals Discrete Failure Times Regression Case Censoring of Survival Data Parametric Identifiability MARTINGALE COUNTING PROCESSESES IN SURVIVAL DATA Introduction Back to Basics: Probability Spaces and Conditional Expectation Filtrations Martingales Counting Processes Product Integrals Survival Data Non-parametric Estimation Non-parametric Testing Regression Models Epilogue APPENDIX 1: Numerical Maximisation of Likelihood Functions APPENDIX 2: Bayesian Computation Bibliography Index
Chapman & Hall/CRC - TAYLOR & FRANCIS &HISBN: 1584881755   PGS: 200List: 152.95     YOUR PRICE: 145.30
Components of Variance
Cox, D.R.2002
KEY MODELS AND CONCEPTS Preliminaries Some Simple Special Models A Distributional Specification Two Key Concepts Objectives Bibliographic Notes Further Results and Exercises ONE-WAY BALANCED CASE Analysis of Variance Some More Assumptions Synthesis of Variance Finite Population Aspects Formulation Some More Theory Bibliographic Notes Computational/Software Notes Further Results and Exercises MORE GENERAL BALANCED ARRANGEMENTS Preliminaries Components of Covariance and Regression Time as a Factor Bayesian Considerations Measurement Error in Regression Heterogeneous Variability Design Issues Bibliographic Notes Computational/Software Notes Further Results and Exercises UNBALANCED SITUATIONS Introduction One-Way Classification A More General Formulation A Special Case Synthesis of Studies Maximum Likelihood and REML A Different Approach Bibliographic Notes Computational/Software Notes Further Results and Exercises NON-NORMAL PROBLEMS Preliminaries Poisson Distribution Binomial Distribution Survival Data Some Extensions A More General Formulation Generalized Linear Mixed Model Development of Analysis An Outline Example Bibliographic Notes Computational/Software Notes Further Results and Exercises MODEL EXTENSIONS AND CRITICISM Introduction Modifications of Structure Outliers Robust Estimation of an Internal Variance Model Assessment: Predicting Exceedances Analysis of Variability Within Small Groups Analysis by Model Elaboration: A Nonlinear Form Analysis by Model Elaboration: Transformation Nonparametric Estimation of Distributional Form Bibliographic Notes Further Results and Exercises APPENDIX: Fitting Separate Logistic Regressions to the ANZICS Data REFERENCES AUTHOR INDEX SUBJECT INDEX
Chapman & Hall/CRC - TAYLOR & FRANCIS &HISBN: 1584883545   PGS: 184List: 115.95     YOUR PRICE: 110.15
Controlled Queueing Systems
Kitaev; Mikhail Yu. Rykov; Vladimir V. 1995
Semi-Regenerative Decision Models Description of Basic Decision Model Rigorous Definitions and Assumptions Examples of Controlled Queues Optimization Problems Renewal Kernels of the Decision Model Special Classes of Strategies Sufficiency of Markov Strategies Dynamic Programming Discounting in Continuous Time Dynamic Programming Equation Bellman Functions Finite-Horizon Problem Infinite-Horizon Discounted-Cost Problem Random-Horizon Problem Average Cost Criterion Preliminaries: Weak Topology, Limit Passages Preliminaries: Taboo Probabilities, Limit Theorems for Markov Renewal Processes Notation, Recurrence-Communication Assumptions, Examples Existence of Optimal Policies Existence of Optimal Strategies: General Criterion Existence of Optimal Strategies: Sufficient Conditions Optimality Equation Constrained Average-Cost Problem Average-Cost Optimality as Limiting Case of Discounted-Cost Optimality Continuously Controlled Markov Jump Processes Facts About Measurability of Stochastic Processes Marked Point Processes and Random Measures The Predictable s-Algebra Dual Predictable Projections of Random Measures Definition of Controlled Markov Jump Process An M/M/1 Queue With Controllable Input and Service Rate Dynamic Programming Optimization Problems Structured Optimization Problems for Decision Processes Convex Regularization Submodular and Supermodular Functions Existence of Monotone Solutions for Optimization Problems Processes with Bounded Drift Birth and Death Processes Control of Arrivals The Model Description Finite-Horizon Discounted-Cost Problem Cost Functionals Infinite-Horizon Case with and without Discounting Optimal Dynamic Pricing Policy: Model; Results Control of Service Mechanism Description of the System Static Optimization Problem Optimal Policies for the Queueing Process Service System with Two Interacting Servers Analysis of Optimality Equation Optimal Control in Models with Several Classes of Customers Description of Models and Processes Associated Controlled Processes Existence of Optimal Simple Strategies for the Systems with Alternating Priority Existence of Optimal Simple Strategy for the System with Feedback Equations for Stationary Distributions Stationary Characteristics of the Systems with Alternating Priority Stationary Characteristics of the System with Feedback Models with Alternating Priority: Linear Programming Problem Linear Programming Problem in the Model with Feedback Model with Periods of Idleness and Discounted-Cost Criterion Basic Formulas Construction of Optimal Modified Priority Discipline Bibliography Index Each chapter also includes an Introduction, and a Remarks and Exercises section
CRC - TAYLOR & FRANCISHISBN: 0849328624   PGS: 304List: 219.95     YOUR PRICE: 208.95
Counterexamples in Probability And Statistics
Romano, Joseph P.1986
This volume contains six early mathematical works, four papers on fiducial inference, five on transformations, and twenty-seven on a miscellany of topics in mathematical statistics. Several previously unpublished works are included.
Chapman & Hall/CRC - TAYLOR & FRANCIS &HISBN: 0412989018   PGS: 352List: 167.95     YOUR PRICE: 159.55
CRC STANDARD PROBABILITY AND STATISTICS TABLES AND FORMULAE, Student Edition
Kokoska, Stephen & Zwillinger, Daniel2000
Final
CRC - TAYLOR & FRANCISSISBN: 0849300266   PGS: 225List: 57.95     YOUR PRICE: 55.05
Dictionary of Inequalities
Bullen; Peter1998
Notations General Notations Sequences and n-tuples Means Continuous Variable Analogues Rearrangements and Orders Some Functions and Classes of Functions Matrices Probability and Statistics Symbols Indicating Some Inequalities A-Z References Basic References Books Papers
CRC - TAYLOR & FRANCISHISBN: 0582327482   PGS: 296List: 157.95     YOUR PRICE: 150.05
Dirac Operators in Analysis
Ryan; John1998
Clifford analysis has blossomed into an increasingly relevant and fashionable area of research in mathematical analysis-it fits conveniently at the crossroads of many fundamental areas of research, including classical harmonic analysis, operator theory, and boundary behavior. This book presents a state-of-the-art account of the most recent developments in the field of Clifford analysis with contributions by many of the field's leading researchers.
CRC - TAYLOR & FRANCISHISBN: 0582356814   PGS: 256List: 157.95     YOUR PRICE: 150.05
Elementary Applications of Probability Theory: With an introduction to stochastic differential equations
Tuckwell; Henry C. 1995
Preface A Review of Basic Probability Theory Geometric Probability Some Applications of the Hypergeometric and Poisson Distributions Reliability Theory Simulation and Random Numbers Convergence of Sequences of Random Variables: The Central Limit Theorem and the Laws of Large Numbers Simple Random Walks Population Genetics and Markov Chains Population Growth I: Birth and Death Processes Population Growth II: Branching Processes Stochastic Processes and an Introduction to Stochastic Differential Equations Diffusion Processes, Stochastic Differential Equations and Applications Appendix: Table of Critical Values of the X2-Distribution Index
CRC - TAYLOR & FRANCISHISBN: 0412576201   PGS: N/AList: 79.95     YOUR PRICE: 75.95
Evolution of Systems in Random Media
Korolyuk; Vladimir S. Swishchuk; Anatol1995
Introduction The Martingale Problem and Weak Convergence in Banach Space Random Processes and Martingales in Banach Space Operator Semi-Groups Markov Processes: Martingale Characterization Weak Convergence Martingale Problem in Banach Space Markov Renewal Processes Semi-Markov Processes Singular Perturbed Problems Perturbation of Reducible-Invertible Operators Phase Merging of Semi-Markov Processes Semi-Markov Random Evolutions Definition and Classification of Random Evolutions Stochastic Models of Systems Inhomogeneous Semi-Markov Random Evolutions Weak Convergence of Random Evolutions Relative Compactness of Random Evolutions Limiting Evolutions in Averaging and Diffusion Approximation Schemes Uniqueness of the Solution of the Martingale Problem Averaging and Diffusion Approximation of Random Evolution in Reducible Random Media Averaging of Stochastic Systems in Semi-Markov Random Media Compacts in Banach Spaces Traffic Processes Impulse Traffic Processes Additive Functionals Stochastic Differential Equations U-Statistical Processes Random Evolutions on Lie Groups Oscillations of a Harmonic Oscillator Waves in Conductors and Beams Diffusion Approximation of Stochastic Systems Traffic Processes Impulse Traffic Processes Additive Functionals U-Statistical Processes Random Motions on Lie Groups Normal Deviations of Semi-Markov Random Evolutions Random Evolution in Ergodic Media Stochastic Systems Random Evolution in Reducible Media Evolutionary Stochastic Systems in Reducible Media Rates of Convergence in the Limit Theorems for Random Evolutions Averaging Schemes for Random Evolutions Diffusion Approximation Scheme for Random Evolutions Averaging Scheme for Evolutionary Stochastic Systems in Random Media Diffusion Approximation Scheme for Evolutionary Stochastic Systems in Random Media Stability of Stochastic Systems Traffic Process in the Averaging Scheme Traffic Process in the Diffusion Approximation Scheme Impulse Traffic Process in the Averaging Scheme Impulse Traffic Process in the Diffusion Approximation Scheme Control of Evolutionary Stochastic Systems in Random Media Functionals of Uncontrolled Processes Cost Functionals Optimal Stochastic Control Bibliography Subject Index
CRC - TAYLOR & FRANCISHISBN: 0849394058   PGS: 368List: 229.95     YOUR PRICE: 218.45
Handbook of Discrete and Combinatorial Mathematics
Rosen; Kenneth H.1999
Foundations, edited by J. Gross Propositional and Predicate Logic Set Theory Functions Relations Proof Techniques Axiomatic Program Verification Logic-Based Computer Programming Paradigms Counting Methods, edited by J. Gross Summary of Counting Problems Basic Counting Techniques Permutations and Combinations Inclusion/Exclusion Partitions Burnside/Polya Counting Mobius Inversion Counting Young Tableaux Sequences, edited by D. Shier and J. Gross Special Sequences Generating Functions Recurrence Relations Finite Differences Finite Sums and Summation Asymptotes of Sequences Number Theory, edited by K. Rosen Basics Primes and Factorization Multiplicative Functions Quadratic Residues and Primitive Roots Diophantine Equations Diophantine Approximation Algebraic Number Theory Algebraic Structures, edited by J. Michaels Algebraic Models Groups Permutation Groups Rings Polynomial Rings Fields Lattices Boolean Algebra Linear Algebra, edited by D. Shier Vector Spaces Linear Transformations Matrix Algebra Linear Systems Eigenanalysis Combinatorial Matrix Theory Transforms Discrete Probability, edited by D. Shier Fundamental Concepts Independence and Dependence Random Variables Probabilistic and Combinatorial Computations Random Walks System Reliability Discrete-Time Markov Chains Queuing Theory Simulation Graph Theory, edited by J. Gross Generalities Paths and Circuits Isomorphism Graph and Map Coloring Planarity Topological Graph Theory Graphical Enumeration Directed Graphs Algebraic Graph Theory Analytic Graph Theory Hypergraphs Trees, edited by J. Gross Characterization of Trees Spanning Trees Enumerating Trees Applications of Trees to Networks Networks and Flows, edited by D. Shier Minimum Spanning Trees Shortest Paths Matchings Maximum Flows Minimum Cost Flows Communication Networks Heuristic Approaches Network Representations and Data Structures Partially Ordered Sets, edited by J. Gross Fundamental Definitions and Examples Further Development Connections to Other Areas Combinatorial Designs, edited by J. Michaels Block Designs and Finite Geometries Symmetric Designs and Finite Geometries Latin Squares and Orthogonal Arrays Matroids Discrete and Computational Geometry, edited by J. Michaels Arrangements of Geometric Objects Space Filling Combinatorial Results in Geometry Polyhedra Algorithms and Complexity in Computational Geometry Geometric Data Structures and Searching Computational Techniques Applications of Geometry Coding Theory and Cryptology, edited by K. Rosen Basic Concepts of Coding Theory Linear Codes Bounds Convolutional Code Cryptology: Definitions Private Key Schemes Public Key Schemes Discrete Optimization, edited by D. Shier Linear Programming Algorithmic Strategies Location Theory Packing and Covering Activity Nets Game Theory Sperner's Lemma and Fixed-Point Theorems Theoretical Computer Science, edited by J. Gross Formal Languages Machine Models Computability Algorithmic Complexity Complexity Classes Randomized Algorithms Information Structures, edited by J. Gross Abstract Data Types Concrete Data Structures Sorting and Searching Hashing Dynamic Graph Algorithms
CRC - TAYLOR & FRANCISHISBN: 0849301491   PGS: 1248List: 152.95     YOUR PRICE: 145.30
Large Deviations and Idempotent Probability
Puhalskii, Anatolii2001
IDEMPOTENT PROBABILITY THEORY Idempotent Probability Measures Idempotent Measures Measurable Maps Modes of Convergence Idempotent Integration Product Spaces Independence and Conditioning Idempotent Distributions and Laplace-Fenchel Transforms' Idempotent Measures on Topological Spaces Idemptent Measures on Projective Limits Topological Spaces of Idempotent Probabilities Maxingales Stopping Times Idempotent Stochastic Processes Exponential Maxingales Wiener and Poisson Idempotent Processes Continuous Local Maxingales Idempotent Ito Equations Semimaxingales and Maxingale Problems Proofs of the Uniqueness Results Convergence of Idempotent Processes LARGE DEVIATION CONVERGENCE Large Deviation Convergence in Tihonov Spaces General Theory Large Deviation Convergence in the Skorohod Space The Method of Finite-Dimensional Distributions Convergence of Stochastic Exponentials LD Convergence via Convergence of the Characteristics Corollaries The Method of the Maxingale Problem Convergence of Stochastic Exponentials Convergence of Characteristics APPLICATIONS Markov Processes Queueing Networks APPENDIX
Chapman & Hall/CRC - TAYLOR & FRANCIS &HISBN: 1584881984   PGS: 520List: 146.95     YOUR PRICE: 139.60
Mathematical Analysis for Modeling
Rosenblatt; Judah1998
FINITE DIFFERENCES; LOCAL LINEAR DESCRIPTION; GRAPHING AND SOLUTION OF EQUATIONS; RECOVERING GLOBAL INFORMATION - INTEGRATION; ELEMENTARY TRANSCENDENTAL FUNCTIONS; TAYLOR'S THEOREM; INFINITE SERIES; MULTIVARIABLE DIFFERENTIAL CALCULUS; COORDINATE SYSTEMS - LINEAR ALGEBRA; MATRICES; ORTHOGONAL COMPLEMENTS; MULTIVARIABLE INTEGRALS; PREFERRED COORDINATE SYSTEMS; FOURIER AND OTHER TRANSFORMS; GENERALIZED FUNCTIONS; APPENDICES; BIBLIOGRAPHY; GLOSSARY; LIST OF DEFINITIONS; INDEX
CRC - TAYLOR & FRANCISHISBN: 0849383374   PGS: 880List: 146.95     YOUR PRICE: 139.60
Mathematical and Physical Modeling of Materials Processing Operations
Ilegbusi; Olusegun J1999
INTRODUCTION Introductory Remarks Mathematical Modeling Physical Models Pilot Plant BUILDING BLOCKS OF MATHEMATICAL MODELS Introduction General Philosophy of Model Development Some Basic Physical Situations of Relevance to Modeling SCIENCE BASE OF MATHEMATICAL MODEL DEVELOPMENT Introduction Fluid Flow Phenomena Heat Transfer Diffusion and Mass Transfer Multiphase Flow SUBSIDIARY RELATIONSHIPS USED IN MATHEMATICAL MODELING Introduction Chemical Equilibria and Chemical Kinetics Electromagnetic Flow Phenomena Non-Newtonian Rheology of Semisolid Slurry Systems Turbulence Modeling Useful Correlations Determination of Physical Properties SCALING, SCOPING, AND ASYMPTOTIC SOLUTIONS Introduction Scaling Scoping and Asymptotic Solutions NUMERICAL TECHNIQUES Introduction Linear Equations Nonlinear Equations Functional Approximation Numerical Differentiation Numerical Integration Ordinary Differential Equations Partial Differential Equations Finite Difference Method Finite Element Method Orthogonal Collocation Boundary Integral Method Optimization IMPLEMENTATION AND VERIFICATION OF PROCESS MODELS Introduction Hardware Software Artificial Intelligence The Future of Modeling Implementations Verification of Models MATHEMATICAL MODELING CASE STUDIES Introduction Scaling and Scoping-Electrolytic Deposition Simulations of Fluid Flow and Heat Transfer in Coextrusion Infiltration Processing of Silicon Carbide Stoichiometry Driven Marangoni Convection in GaAs Growth Czochralski Crystal Growth Flow Characteristics in Gas-Agitated Bath BASIC ELEMENTS OF PHYSICAL MODELING Principles of Physical Modeling Flow Visualization Technique Measurement of Turbulent Phenomena Bubble Characteristics Measurement of Interfacial Phenomena Measurement of Heat and Mass Transfer PHYSICAL MODELING EXAMPLES Bubbling and Jetting Mixing Swirl Motion of Bubbling jet Bubble Characteristics Liquid Flow Characteristics in a Bath Agitated by Gas Injection Heat Transfer Between Bubbles and Molten Metal Heat Transfer Between Solid Body and Molten Metal Mass Transfer Between Bubbles and Liquid Mass Transfer Between a Solid Body and Liquid Entrainment of Top Slag by Lower Molten Metal Effects of Top Slag on Liquid Flow Characteristics Turbulence Structure in Bottom Blown Bath with Top Slag Using Conditional Sampling APPENDICES Dimensionless Numbers Useful in Process Metallurgy Fluid Flow Equations in Various Coordinate Systems Components of the Stress Tensor for Newtonian Fluids in Various Coordinate Systems The Viscous Dissipation Term for Newtonian Fluids in Various Coordinate Systems Plus each chapter includes references
CRC - TAYLOR & FRANCISHISBN: 1584880171   PGS: 512List: 199.95     YOUR PRICE: 189.95
Numerical Solution of Markov Chains:
W. J. Stewart1991
Papers presented at a workshop held January 1990 (location unspecified) cover just about all aspects of solving Markov models numerically. There are papers on matrix generation techniques and generalized stochastic Petri nets; the computation of stationary distributions, including aggregation/disagg
MARCEL DEKKER - TAYLOR & FRANCIS & FRANCHISBN: 0824784057   PGS: 736List: 339.95     YOUR PRICE: 322.95
PLANNING UNDER UNCERTAINTY: Solving Large-Scale Stochastic Linear Programs
Infranger, Gerd1993
Contents: Benders Decomposition & Importance Sampling; Using Parallel Processors; Techniques for Solving Multi-Stage Problems.
BOYD & FRASERHISBN: 0894262491   PGS: N/AList: 65.95     YOUR PRICE: 62.65
Probability and Statistical Models with Applications
Balakrishnan, N.2000
PREFACE LIST OF CONTRIBUTORS LIST OF TABLES LIST OF FIGURES THEOPHILOS N. CACOULLOS - A VIEW OF HIS CAREER PUBLICATIONS OF THEOPHILOS N. CACOULLOS THE TEN COMMANDMENTS FOR A STATISTICIAN PART I APPROXIMATION, BOUNDS AND INEQUALITIES. NON-UNIFORM BOUNDS IN PROBABILITY APPROXIMATIONS USING STEIN'S METHOD Introduction Poisson Approximation Binomial Approximation: Binary Expansion of a Random Integer Normal Approximation Conclusion PROBABILITY INEQUALITIES FOR MULTIVARIATE DISTRIBUTIONS WITH APPLICATIONS TO STATISTICS Introduction and Summary Positive Dependence and Product-Type Inequalities Negative Dependence and Product-Type Inequalities Bonferroni-Type Inequalities Applications APPLICATIONS OF COMPOUND POISSON APPROXIMATION Introduction First Applications Word Counts Discussion and Numerical Examples COMPOUND POISSON APPROXIMATION FOR SUMS OF DEPENDENT RANDOM VARIABLES Introduction Preliminaries and Notations Main Results Examples of Applications UNIFIED VARIANCE BOUNDS AND A STEIN-TYPE IDENTITY Introduction Properties of the Transformation Application to Variance Bounds PROBABILITY INEQUALITIES FOR U-STATISTICS Introduction Preliminaries Probability Inequalities PART II PROBABILITY AND STOCHASTIC PROCESSES THEORY AND APPLICATIONS OF DECOUPLING Complete Decoupling of Marginal Laws and One-Sided Bounds Tangent Sequences and Conditionally Independent Variables Basic Decoupling Inequalities for Tangent Sequences Applications to Martingale Inequalities and Exponential Tail Probability Bounds Decoupling of Multilinear Forms, U-Statistics and U-Processes Total Decoupling of Stopping Times Principle of Conditioning in Weak Convergence Conclusion A NOTE ON THE PROBABILITY OF RAPID EXTINCTION OF ALLELES IN A WRIGHT-FISHER PROCESS Introduction The Lower Bound for Boundary Sets STOCHASTIC INTEGRAL FUNCTIONALS IN AN ASYMPTOTIC SPLIT STATE SPACE Introduction Preliminaries Phase Merging Scheme for Markov Jump Processes Average of Stochastic Integral Functional Diffusion Approximation of Stochastic Integral Function Integral Functional with Perturbed Kernel BUSY PERIODS FOR SOME QUEUES WITH DETERMINISTIC INTERARRIVAL OR SERVICE TIMES Introduction Preliminaries: A Basic Class of Polynomials The Dg/M(Q)/1 Queue The M(Q)/Dg /1 Queue THE EVOLUTION OF POPULATION STRUCTURE OF THE PERTURBED NON-HOMOGENOUS SEMI-MARKOV SYSTEM Introduction The Perturbed Non-Homogeneous Semi-Markov System The Expected Population Structure with Respect to the First Passage Time Probabilities The Expected Population Structure with Respect to the Duration of a Membership in a State The Expected Population Structure with Respect to the State Occupancy of a Membership The Expected Population Structure with Respect to the Counting Transition Probabilities PART III DISTRIBUTIONS, CHARACTERIZATIONS, AND APPLICATIONS CHARACTERIZATIONS OF SOME EXPONENTIAL FAMILIES BASED ON SURVIVAL DISTRIBUTIONS AND MOMENTS Introduction An Auxiliary Lemma Characterizations Based on Survival Distributions Characterizations Based on Moments BIVARIATE DISTRIBUTIONS COMPATIBLE OR NEARLY COMPATIBLE WITH GIVEN CONDITIONAL INFORMATION Introduction Imprecise Specification Precise Specification An Example A CHARACTERIZATION OF A DISTRIBUTION ARISING FROM ABSORPTION SAMPLING Introduction The Characterization Theorem An Application REFINEMENTS OF INEQUALITIES FOR SYMMETRIC FUNCTIONS GENERAL OCCUPANCY DISTRIBUTIONS Introduction A General Random Occupancy Model Special Occupancy Distributions A SKEW t Distribution Introduction Derivation of Skew t Density Properties of Skew t Distribution A First Bivariate Skew t Distribution A Second Bivariate Skew t Distribution ON THE POSTERIOR MOMENTS FOR TRUNCATION PARAMETER DISTRIBUTIONS AND IDENTIFIABILITY BY POSTERIOR MEAN FOR EXPONENTIAL DISTRIBUTION WITH LOCATION PARAMETERS Introduction Posterior Moments Examples Identifiability by Posterior Mean An Illustrative Example DISTRIBUTIONS OF RADON VOLUMES WITHOUT USING INTEGRAL GEOMETRY TECHNIQUES Introduction Evaluation of Arbitrary Moments of the Random Volumes PART IV TIME SERIES, LINEAR, AND NON-LINEAR SERIES COINTEGRATION OF ECONOMIC TIME SERIES Introduction Regression Models Simultaneous Equation Models Canonical Analysis and the Reduced Rank Regression Estimator Autoregressive Processes Nonstationary Models Cointegrated Models Asymptotic Distribution of Estimators and Test Criterion ON SOME POWER PROPERTIES OF GOODNESS-OF-FIT TESTS IN TIME SERIES ANALYSIS Testing Spectral Density Fits Local Power Considerations Comparison LINEAR CONSTRAINTS ON A LINEAR MODEL Introduction Geometric Interpretation of the Role of the Linear Constraints M-METHODS IN GENERALIZED NONLINEAR MODELS Introduction Definitions and Assumptions Asymptotic Results Test of Significance and Computational Algorithm PART V INFERENCE AND APPLICATIONS EXTENTIONS OF A VARIATION OF THE ISOPERIMETRIC PROBLEM Introduction Information Retrieval Problem Information Retrieval without Measurement Error Useful Information in a Variable Al
Chapman & Hall/CRC - TAYLOR & FRANCIS &HISBN: 1584881240   PGS: 664List: 146.95     YOUR PRICE: 139.60
Probability For Analysts
Stromberg, Karl1994
Fourier transforms on Rd Weak convergence in M1 (Rd) Independende Infinite series of random vectors Normal distributions and central limits Martingales Projective limits and infinite products of probability measures Brownian motions Random Fourier series of continuous functions Fourier coefficients of continuous functions
Chapman & Hall/CRC - TAYLOR & FRANCIS &HISBN: 0412041715   PGS: N/AList: 167.95     YOUR PRICE: 159.55
Probability Theory
Borovkov, A A1999
1. Discrete Space of Elementary Events 2. Arbitrary Space of Elementary Events 3. Random Variables and Distribution Functions 4. Numerical Characteristics of Random Variables 5. Sequences of Independent Trials with Two Outcomes 6. On Convergence of Random Variables and Distributions 6. Characteristic Functions 7. Sequences of Independent Random Variables. Properties of the Trajectory (01, S1, S2,...) 8. Elements of Renewal Theory 9. Sequences of Independent Random Variables. Limit Theorems 10. Factorization Identities 11. Sequences of Dependent Trials. Markov Chains 12. Factorization Identities 13. Information and Entropy 14. Martingales 15. Stationary Sequences 16. Stochastically Recursive Sequences 17. Continuous Time Random Processes 18. Processes with Independent Increments 19. Functional Limit Theorems 20. Markov Processes 21. Processes with Finite Second Moments. Gaussian Processes
CRC - TAYLOR & FRANCISHISBN: 9056990462   PGS: N/AList: 229.95     YOUR PRICE: 218.45
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