Feldman, R. M. & Valdez-Flores, C.
Applied Probability and Stochastic Processes 2nd ed.
応用確率と確率過程 第２版
Springer-Verlag 2010.2
397 pp.(H)
ISBN 3-642-05155-3
20,900円
Contents
1. Basic Probability Review/ 2. Basics of Monte Carlo Simulation/ 3. Basic Statistical Review/ 4. Poisson Processes/ 5. Markov Chains/ 6. Markov Processes/ 7. Queueing Processes/ 8. Queueing Networks/ 9. Event-Driven Simulation and Output Analyses/ 10. Inventory Theory/ 11. Replacement Theory/ 12. Markov Decision Processes/ 13. Advanced Queues/ A: Matrix Review/ References/ Index/
* This book presents applied probability and stochastic processes in an elementary but mathematically precise manner, with numerous examples and exercises to illustrate the range of engineering and science applications of the concepts. The book is designed to give the reader an intuitive understanding of probabilistic reasoning, in addition to an understanding of mathematical concepts and principles. *
Ogunnaike, B. A.
Random Phenomena
Fundamentals of Probability and Statistics for Engineers
CRC Press 2009.9
1056 pp.(H)
ISBN 1-4200-4497-4
9,700円
Contents
1.Foundations/ 2.Probability/ 3.Distributions/ 4.Statistics/ 5.Applications/ Appendix/ Index/
* Many of the problems that engineers face involve randomly varying phenomena of one sort or another. But if characterized properly, even such randomness and the resulting uncertainty are subject to rigorous mathematical analysis.
* Taking into account the uniquely multidisciplinary demands of 21st-century science and engineering, Random Phenomena: Fundamentals of Probability and Statistics for Engineers provides students with a working knowledge of how to solve engineering problems that involve randomly varying phenomena. Basing his approach on the principle of theoretical foundations before application, Dr. Ogunnaike presents a classroom-tested course of study that explains how to master and use probability and statistics appropriately to deal with uncertainty in standard problems and those that are new and unfamiliar. *
Fujikoshi, Y. et al.
Multivariate Statistics
High-Dimensional and Large-Sample Approximations
（多変量統計学）
John Wiley & Sons 2009.10
528 pp.(H)
ISBN 0-470-41169-4
13,400円
Contents
1. Multivariate Normal and Related Distributions/ 2. Wishart Distribution/ 3. T2- and Lambda-Statistics/ 4. Correlation Coefficients/ 5. Asymptotic Expansions for Multivariate Basic Statistics/ 6. MANOVA Models/ 7. Multivariate Regression/ 8. Classical and High-Dimensional Tests for Covariance Matrices/ 9. Discriminant Analysis/ 10. Principal Component Analysis/ 11. Canonical Correlation Analysis/ 12. Growth Curve Analysis/ 13. Theory of Approximation to the Distribution of Scale Mixture/ 14. Basic Theory of Approximation to Some Related Distributions/ 15. Error Bounds for Approximations of Some Multivariate Tests/ 16. Error Bounds for Approximations of Some Other Statistics/ A: Appendix: Some Results on Matrices/ Bibliography/ Index/
* Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. *
Mickey, R. M. et al.
Applied Statistics 3rd ed.
Analysis of Variance and Regression
(Series in Probability and Statistics)
John Wiley & Sons 2009.11
480 pp.(P)
ISBN 0-470-57125-X
10,600円
Contents
* This work has been thoughtfully designed so that it serves equally well as a reference for the practitioner and as a self-contained textbook for the advanced student.
・Rewritten to maintain clarity and brevity while expanding the coverage of previous editions.
・Changes to design-related topics include increased discussion of mixed models and random effects, greater emphasis on regression and data screening, and more use of graphs throughout.
・Includes both graded and challenging exercises.
・Liberal computer discussions now supplemented with SAS and SPSS. *
Pfeffermann, D. & Rao, C. R.
Handbook of Statistics Vol.29B
Sampling Surveys: Inference and Analysis
Elsevier 2009.9
666 pp.(H)
ISBN 0-444-53438-5
28,600円
Contents
1. Sampling and Survey Design/ 2. Survey Processing/ 3. Survey Applications/ 4. Alternative Approaches to Inference from/ 5. Special Estimation and Inference Problems/ 6. Informative Sampling and Theoretical Aspects/ Index/
* This new handbook contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A and 29B), with a total of 41 chapters, covering current developments in almost every aspect of sample surveys, with references to important contributions and available software. It can serve as a self contained guide to researchers and practitioners, with appropriate balance between theory and real life applications. *
Promislow, S. D.
A First Course in Functional Analysis
(Pure and Applied Mathematics)
John Wiley & Sons 2008.4
308 pp.(H)
ISBN 0-470-14619-2
12,900円
Contents
1. Linear spaces and operators/ 2. Normed linear spaces - the basics/ 3. The major Banach space theorems/ 4. Hilbert spaces/ 5. The Hahn-Banach theorem/ 6. Duality/ 7. Topological linear spaces/ 8. The spectrum/ 9. Compact operators/ 10 Application to integral and differential equations/ 11 The spectral theorem for a bounded self-adjoint operator/ Appendix A: Zorn's lemma/ Appendix B: The Stone-Weierstrass theorem/ Appendix C: The extended real number system and limit points of sequences/ Appendix D: Measure and integration/ Appendix E: Tychono's theorem/ References/ List of Symbols/ Index/ *
Kulkarni, V. G.
Modeling and Analysis of Stochastic Systems 2nd ed.
CRC Press 2009.12
563 pp.(H)
ISBN 1-4398-0875-9
12,500円
Contents
1. Introduction/ 2. Discrete-Time Markov Chains: Transient Behavior/ 3. DTMCs: First Passage Times/ 4. DTMCs: Limiting Behavior/ 5. Poisson Processes/ 6. Continuous-Time Markov Chains/ 7. Queueing Models/ 8. Renewal Processes/ 9. Markov Regenerative Processes/ 10. Diffusion Processes/ 11. Epilogue/ 12. Appendices/ 13. Answers to Selected Problems/ References/ Index/
* Based on the author's more than 25 years of teaching experience, Modeling and Analysis of Stochastic Systems, Second Edition covers the most important classes of stochastic processes used in the modeling of diverse systems, from supply chains and inventory systems to genetics and biological systems. For each class of stochastic process, the text includes its definition, characterization, applications, transient and limiting behavior, first passage times, and cost/reward models. Along with reorganizing the material, this edition revises and adds new exercises and examples. *
Atkinson, K.E. et al.
Numerical Solution of Ordinary Differential Equations
(Pure and Applied Mathematics)
John Wiley & Sons 2009.2
252 pp.(H)
ISBN 0-470-04294-X
10,700円
Contents
1. Theory of differential equations: an introduction/ 2. Euler's method/ 3. Systems of differential equations/ 4. The backward Euler method and the trapezoidal method/ 5. Taylor and Runge-Kutta methods/ 6. Multistep methods/ 7. General error analysis for multistep methods/ 8. Stiff differential equations/ 9. Implicit RK methods for stiff differential equations/ 10. Differential algebraic equations/ 11. Two-point boundary value problems/ 12. Volterra integral equations/ Appendix A: Taylor's theorem/ Appendix B: Polynomial interpolation/ Bibliography/ Index/ *
Manton, K.G. et ak.
Cancer Mortality and Morbidity Patterns in the U.S. Population
An Interdisciplinary Approach
(Statistics for Biology and Health Series)
Springer-Verlag 2009.
455 pp. (H)
ISBN 0-387-78192-7
11,400円
Contents
1. Introduction: Cancer contra human: cohabitation with casualties?/ 2. Cancer modeling: how far can we move?/ 3. Cancer risk factors/ 4. Standard and innovative statistical methods for empirically analyzing cancer morbidity and mortality/ 5. Stochastic methods of analysis/ 6. U.S. cancer morbidity and mortality risks/ 7. U.S. cancer morbidity: modeling age-patterns of cancer histotypes/ 8. Risk factors intervention/ 9. Cancer prevention/ 10. Conclusion/outlook/ Appendices/ Index/ *
465-80 登録日 10.02.02
