Предлагаемая читателю книга американских математиков Самюэля Карлина и Вильяма Стаддена необычайно привлекательна богатством приложений излагаемой в ней фундаментальной теории. Приложения в области анализа, теории вероятностей, математической статистики и теории планирования эксперимента делают эту книгу весьма актуальной.

Титульный лист ......Page 1 Выходные данные ......Page 2 ОГЛАВЛЕНИЕ ......Page 3 Предисловие редактора ......Page 7 Предисловие авторов к американскому изданию ......Page 9 Список основных обозначений ......Page 12 § 1. Системы Чебышева ......Page 13 § 2. Обобщенные и слабые системы Чебышева ......Page 15 § 3. Примеры ......Page 20 § 4. Эквивалентное определение $T$-систем для многочленов ......Page 31 § 5. Многочлены с заданными нулями ......Page 38 § 6. Задача интерполяции ......Page 41 Глава II. Моментные пространства, индуцированные $T$-системами, и двойственные к ним ......Page 48 § 1. Определение и общая структура $\mathcal{M}_{n+1}$ ......Page 49 § 2. Граница и крайние лучи $\mathcal{M}_{n+1}$ ......Page 52 § 3. Внутренность $\mathcal{M}_{n+1}$ ......Page 55 § 4. Экстремальная характеризация канонической меры ......Page 59 § 5. Свойства непрерывности канонического представления ......Page 61 § 6. Иной подход к каноническим мерам и одномерным сечениям ......Page 64 § 7. Двумерные сечения ......Page 66 § 8. Монотонность корней некоторых главных представлений ......Page 69 § 9. Двойственный конус $\mathcal{P}_{n+1}$ ......Page 73 § 10. Теоремы о представлении положительных многочленов ......Page 75 § 11. Крайние точки $\mathcal{P}_{n+1}$ ......Page 85 Глава III. Теорема Маркова — Крейна и ее ответвления ......Page 87 § 1. Экстремальные значения из $R(с^0)$ ......Page 88 § 2. Теорема Маркова—Крейна ......Page 89 § 3. Другое доказательство теоремы Маркова—Крейна ......Page 91 § 4. Обобщения ......Page 97 § 5. Множества мер, заданных моментными неравенствами ......Page 103 § 6. Крайние точки множества функций распределения с заданными моментами ......Page 108 § 1. Классический критерий для моментных точек ......Page 113 § 2. Опорные гиперплоскости и ортогональные многочлены ......Page 115 § 3. Максимальная масса $\rho(t_0)$ ......Page 121 § 4. Геометрия классических чебышевских многочленов ......Page 125 § 5. Симплексы $S_n$ и $B_n$ ......Page 130 § 6. Объем симплекса ......Page 134 § 7. Свойства симметрии моментных пространств ......Page 137 § 8. Механические квадратуры и главные представления ......Page 143 § 9. Сплайн-функции с заданными нулями ......Page 147 § 2. Общая теорема о конической оболочке ......Page 152 § 3. Общая структура $\mathcal{M}_{n+1}$ ......Page 154 § 4. Канонические представления, максимальная масса $\rho(t_0)$ и двумерные сечения ......Page 160 § 5. Теорема Маркова—Крейна ......Page 164 § 6. Другой класс экстремальных задач, решениями которых являются канонические меры ......Page 167 § 7. Применения теории канонических мер и аппроксимации преобразований Лапласа—Стилтьеса ......Page 170 § 8. Теоремы о представлении положительных многочленов ......Page 175 § 9. Крайние точки и граница $\mathcal{P}_{n+1}[0,\infty)$ ......Page 178 § 10. Классический критерий для моментных точек ......Page 179 § 11. Соотношение между $\mathcal{P}_{n+1}$ и $\mathcal{M}_{n+1}$ ......Page 180 § 12. Соотношение между $\mathcal{M}^n[0,a]$ и $\mathcal{M}^n[0,\infty)$ ......Page 184 § 1. Определения ......Page 186 § 2. Основные свойства периодических $T$-систем ......Page 187 § 3. Двумерные сечения ......Page 188 § 4. Тригонометрическая проблема моментов ......Page 191 § 5. Примеры ......Page 192 § 6. Представление для положительных многочленов и крайние точки $\mathcal{M}_{2m+1}$ ......Page 197 § 7. Чебышевские системы на $(—\infty,\infty)$ ......Page 201 § 8. Представления для многочленов в $\mathcal{P}_{2m+1}(—\infty,\infty)$ ......Page 203 § 9. Двумерные сечения для ${t^i}_0^{2m}$ на $(—\infty,\infty)$ ......Page 204 § 10. Двумерные сечения для ${t^i}_0^{2m+1}$ на $(—\infty,\infty)$ ......Page 206 § 11. Соотношение между $\mathcal{P}_{n+1}$ и $\mathcal{M}_{n+1}$ ......Page 208 § 1. Введение ......Page 209 § 2. Индекс множества $\Sigma<К$ ......Page 212 § 3. Многочлены с заданными нулями ......Page 214 § 4. Граница и канонические представления точек в $\mathcal{M}_{n+1}(\bar{K})$ ......Page 216 § 5. Главные представления ......Page 219 § 6. Свойства перемежаемости корней канонических представлений ......Page 222 § 7. Теорема Маркова—Крейна ......Page 224 § 8. Дополнения ......Page 227 § 9. Другой класс экстремальных задач, решениями которых являются канонические меры ......Page 228 § 10. Применения к теории интерполяции абсолютно монотонных функций ......Page 232 § 1. Введение ......Page 236 § 2. Граница и общие свойства моментного пространства $\Phi_{n+1}$ ......Page 237 § 3. Главные представления внутренних точек ......Page 241 § 4. Другой подход к построению главных представлений ......Page 243 § 5. Пополнение чебышевской системы, определенной на открытом интервале ......Page 244 § 6. Свойства перемежаемости узлов канонических представлений ......Page 249 § 7. Двумерные сечения ......Page 253 § 8. Неравенства чебышевского типа ......Page 254 § 9. Множества мер, определяемых моментными неравенствами ......Page 257 § 10. Обобщения ......Page 261 § 11. Задача минимизации ......Page 262 § 12. Теорема Ляпунова о множестве значений векторной меры ......Page 267 § 13. Обобщения теоремы Ляпунова ......Page 272 § 14. Применения теоремы Ляпунова ......Page 276 Глава IX. Минимаксная аппроксимация, неравенство Маркова—Бернштейна и связанные с ними задачи ......Page 281 § 1. Многочлены наилучшего приближения ......Page 282 § 2. Многочлены наилучшего приближения (продолжение) ......Page 285 § 3. Доказательство теоремы 1.1 ......Page 287 § 4. Примеры применения теоремы 1.1 ......Page 289 § 5. Обобщение неравенства Маркова—Бернштейна ......Page 294 § 6. Обобщение неравенства Маркова—Бернштейна для бесконечных интервалов ......Page 299 § 7. Обобщенные неравенства Маркова—Бернштейна для периодических функций ......Page 301 § 8. Примеры и приложения ......Page 305 § 9. Дополнения ......Page 311 § 10. Периодические $ET$-системы и экстремальные задачи с двумя ограничениями ......Page 316 § 1. Введение ......Page 319 § 2. Общая теорема эквивалентности ......Page 321 § 3. Максимизация некоторых определителей ......Page 327 § 4. Обобщение задачи Фейера ......Page 333 § 5. Устойчивые и экономичные интерполяционные системы ......Page 336 § 6. Тригонометрические системы ......Page 341 § 7. Планы эксперимента ......Page 348 § 8. Обобщения ......Page 362 § 9. Открытые вопросы ......Page 372 § 1. Предварительные замечания ......Page 374 § 2. Свойства конуса $C(u_0,u_1,\ldots,u_n)$ ......Page 379 § 3. Дальнейшие свойства конуса $C(u_0,u_1,\ldots,u_n)$ ......Page 391 § 4. Крайние лучи конусов ......Page 394 § 5. Конус, дуальный к конусу $C(u_0,\ldots,u_n)$ ......Page 402 § 6. Примеры и приложения теории дуальных конусов ......Page 408 § 7. Дискретные примеры ......Page 418 § 8. Обобщенные абсолютно монотонные функции ......Page 430 § 9. Интерполяция функций обобщенными сплайн-многочленами ......Page 435 § 10. Наилучшие квадратурные формулы, использующие натуральные сплайн-многочлены ......Page 444 § 11. Свойства дифференцируемости выпуклых в обобщенном смысле функций ......Page 452 § 1. Введение ......Page 464 § 2. Общая теорема ......Page 467 § 3. Примеры ......Page 471 § 4. Чебышевские неравенства для классов унимодальных распределений ......Page 478 § 5. Унимодальность высшего порядка ......Page 490 § 1. Введение ......Page 497 § 2. Крайние точки множества $\mathcal{A}$ ......Page 500 § 3. Чебышевские неравенства для Pr$(\max\limits_{1\leq i\leq n} |Х_i| \geq 1)$ ......Page 504 § 4. Обобщения неравенства Берге ......Page 509 § 5. Чебышевские неравенства, в которых $\Omega(\vec{x})$ — симметрическая характеристическая функция ......Page 510 § 6. Чебышевские неравенства для прямоугольника ......Page 514 § 7. Неравенства для Pr$(\max\limits_{1\leq i\leq n} Х_i \geq 1)$ ......Page 516 § 8. Чебышевские неравенства для случая, когда $\Omega$ есть характеристическая функция конечного объединения выпуклых областей ......Page 517 § 9. Границы для минимальных компонент ......Page 521 § 1. Формулировка теорем ......Page 523 § 2. Доказательство теорем 1.1—1.4 ......Page 527 § 3. Гипотеза Самуэльса ......Page 531 § 4. Неравенство для сумм случайных величин без предположения независимости ......Page 536 § 5. Нелинейные задачи ......Page 539 § 6. Пример I. Максимум и размах выборки ......Page 541 § 7. Пример II. ......Page 550 Библиография ......Page 554 Литература, добавленная при переводе ......Page 564 Предметный указатель ......Page 566

[edited By] Samuel Karlin ... [et Al.]. Includes Bibliographies And Index.

Book by Kenneth J. Arrow, Samuel Karlin, Herbert Scarf

x, 341 p. : 25 cm Collection of papers presented in honor of Samuel Karlin Includes bibliographies and index

[edited By] Samuel Karlin ... [et Al.]. Includes Bibliographies And Index.

[edited By] Samuel Karlin ... [et Al.]. Includes Bibliographies And Index.

Probability, Statistics, and Mathematics: Papers in Honor of Samuel Karlin is a collection of papers dealing with probability, statistics, and mathematics. Conceived in honor of Polish-born mathematician Samuel Karlin, the book covers a wide array of topics, from the second-order moments of a stationary Markov chain to the exponentiality of the local time at hitting times for reflecting diffusions. Smoothed limit theorems for equilibrium processes are also discussed. Comprised of 24 chapters, this book begins with an introduction to the second-order moments of a stationary Markov chain, paying particular attention to the consequences of the autoregressive structure of the vector-valued process and how to estimate the stationary probabilities from a finite sequence of observations. Subsequent chapters focus on A. Selberg's second beta integral and an integral of mehta; a normal approximation for the number of local maxima of a random function on a graph; nonnegative polynomials on polyhedra; and the fundamental period of the queue with Markov-modulated arrivals. The rate of escape problem for a class of random walks is also considered. This monograph is intended for students and practitioners in the fields of statistics, mathematics, and economics.

Probability, Statistics, and Mathematics: Papers in Honor of Samuel Karlin is a collection of papers dealing with probability, statistics, and mathematics. Conceived in honor of Polish-born mathematician Samuel Karlin, the book covers a wide array of topics, from the second-order moments of a stationary Markov chain to the exponentiality of the local time at hitting times for reflecting diffusions. Smoothed limit theorems for equilibrium processes are also discussed. Comprised of 24 chapters, this book begins with an introduction to the second-order moments of a stationary Markov chain, paying particular attention to the consequences of the autoregressive structure of the vector-valued process and how to estimate the stationary probabilities from a finite sequence of observations. Subsequent chapters focus on A. Selberg's second beta integral and an integral of mehta; a normal approximation for the number of local maxima of a random function on a graph; nonnegative polynomials on polyhedra; and the fundamental period of the queue with Markov-modulated arrivals. The rate of escape problem for a class of random walks is also considered. This monograph is intended for students and practitioners in the fields of statistics, mathematics, and economics.

Each double-sided plastic hologram window figure comes with a plastic suction cup for window attachment and official team colors emblazoned with an authentic team logo. Comes with plug and cord to plug into car cigarette lighter. **This item usually ships within 7-10 business days.**

University Physics is a three-volume collection that meets the scope and sequence requirements for two- and three-semester calculus-based physics courses. Volume 1 covers mechanics, sound, oscillations, and waves. Volume 2 covers thermodynamics, electricity and magnetism, and Volume 3 covers optics and modern physics. This textbook emphasizes connections between between theory and application, making physics concepts interesting and accessible to students while maintaining the mathematical rigor inherent in the subject. Frequent, strong examples focus on how to approach a problem, how to work with the equations, and how to check and generalize the result.

Experience the best of Malaysia & Singapore. Now it’s even easier to plan the perfect trip Highlights: Must-see sights and all the best experiences. Itineraries: Great trip ideas to make your planning easy. Local Experts: Get advice from people who know the place. Discover this and more inside...Explore vibrant Kuala Lumpur Relax in the Cameron Highlands Try Penang’s famous street food Laze on the beach in Langkawi Go retail crazy in Singapore Choose Lonely Planet because... Our job is to make amazing travel experiences happen. We visit the places we write about each and every edition. We never take freebies for positive coverage, so you can always rely on us to tell it like it is.

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1 (p1): PART I.INTRODUCTION 3 (p1-1): 1 Historical Background&(Kenneth J.Arrow) 3 (p1-1-1): INTRODUCTION 4 (p1-1-2): THE TRANSACTION MOTIVE 7 (p1-1-3): THE PRECAUTIONARY MOTIVE 8 (p1-1-4): THE SPECULATIVE MOTIVE 13 (p1-1-5): RISKS IN MULTI-PERIOD ANALYSIS 14 (p1-1-6): CONCLUSION 16 (p1-2): 2 The Nature and Structure of Inventory Problems&(Kenneth J.Arrow,Samuel Karlin,and Herbert Scarf) 16 (p1-2-1): DECISION PROBLEMS 18 (p1-2-2): INVENTORY AND PRODUCTION PROBLEMS 19 (p1-2-3): COST AND REVENUE CONSIDERATIONS 23 (p1-2-4): DEMAND 24 (p1-2-5): DELIVERIES 24 (p1-2-6): THE GENERAL STRUCTURE OF INVENTORY MODELS 30 (p1-2-7): TYPES OF ANALYSIS 37 (p1-3): 3 Summaries&(Kenneth J.Arrow,Samuel Karlin,and Herbert Scarf) 37 (p1-3-1): CHAPTERS 4,5,AND 6: 41 (p1-3-2): CHAPTER 7: 42 (p1-3-3): CHAPTER 8: 44 (p1-3-4): CHAPTER 9: 45 (p1-3-5): CHAPTER 10: 46 (p1-3-6): CHAPTER 11: 48 (p1-3-7): CHAPTER 12: 48 (p1-3-8): CHAPTER 13: 49 (p1-3-9): CHAPTER 14: 52 (p1-3-10): CHAPTER 15: 55 (p1-3-11): CHAPTER 16: 56 (p1-3-12): CHAPTER 17: 59 (p2): PART II.OPTIMAL POLICIES IN DETERMINISTIC INVENTORY PROCESSES 61 (p2-1): 4 Production over Time with Increasing Marginal Costs&(Kenneth J.Arrow and Samuel Karlin) 61 (p2-1-1): INTRODUCTION 62 (p2-1-2): A CONSISTENCY REQUIREMENT 63 (p2-1-3): BEGINNING A CONSTRUCTIVE SOLUTION 64 (p2-1-4): THE CASE OF t0 < T 66 (p2-1-5): THE CASE OF NO STORAGE COST 66 (p2-1-6): EXAMPLES 70 (p2-2): 5 Smoothed Production Plans&(Kenneth J.Arrow and Samuel Karlin) 70 (p2-2-1): INTRODUCTION 71 (p2-2-2): THE EVALUATION OF J(z) 71 (p2-2-3): CONVENIENT TRANSFORMATIONS 72 (p2-2-4): UPPER AND LOWER BOUNDS ON THE OPTIMAL POLICY 74 (p2-2-5): THE CASE IN WHICH s(t) IS CONVEX 78 (p2-2-6): THE CASE IN WHICH s(t) IS CONVEX-CONCAVE 82 (p2-2-7): THE CASE IN WHICH s(t) IS CONCAVE-CONVEX 83 (p2-2-8): THE CASE IN...

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1 online resource (iv, 54 pages) Papers from the Arthur M. Sackler Colloquium held October 15-17, 2004, at the Arnold and Mabel Beckman Center of the National Academy of Sciences in Irvine, California Print version record

Studies in Econometrics, Time Series, and Multivariate Statistics covers the theoretical and practical aspects of econometrics, social sciences, time series, and multivariate statistics. This book is organized into three parts encompassing 28 chapters. Part I contains studies on logit model, normal discriminant analysis, maximum likelihood estimation, abnormal selection bias, and regression analysis with a categorized explanatory variable. This part also deals with prediction-based tests for misspecification in nonlinear simultaneous systems and the identification in models with autoregressive errors. Part II highlights studies in time series, including time series analysis of error-correction models, time series model identification, linear random fields, segmentation of time series, and some basic asymptotic theory for linear processes in time series analysis. Part III contains papers on optimality properties in discrete multivariate analysis, Anderson's probability inequality, and asymptotic distributions of test statistics. This part also presents the comparison of measures, multivariate majorization, and of experiments for some multivariate normal situations. Studies on Bayes procedures for combining independent F tests and the limit theorems on high dimensional spheres and Stiefel manifolds are included. This book will prove useful to statisticians, mathematicians, and advance mathematics students.

A quarterly digest of Christ-centered sermons and articles. Each issue focuses on a different theme. The FGB is useful for personal study, discipleship, family worship, and sermon preparation.

Content: Front Matter, Pages ii-iii Copyright, Page iv PREFACE, Pages v-vi INTRODUCTION: THE NATURE OF THE MATHEMATICAL THEORY OF DECISION PROCESSES, Pages 1-11 CHAPTER 1 - THE DEFINITION OF A GAME AND THE MIN-MAX THEOREM, Pages 15-35 CHAPTER 2 - THE NATURE OF OPTIMAL STRATEGIES FOR MATRIX GAMES, Pages 36-62 CHAPTER 3 - DIMENSION RELATIONS FOR SETS OF OPTIMAL STRATEGIES, Pages 63-81 CHAPTER 4 - SOLUTIONS OF SOME DISCRETE GAMES, Pages 82-109 CHAPTER 5 - LINEAR PROGRAMMING, Pages 113-158 CHAPTER 6 - COMPUTATIONAL METHODS FOR LINEAR PROGRAMMING AND GAME THEORY, Pages 159-198 CHAPTER 7 - NONLINEAR PROGRAMMING, Pages 199-242 CHAPTER 8 - MATHEMATICAL METHODS IN THE STUDY OF ECONOMIC MODELS, Pages 243-291 CHAPTER 9 - MATHEMATICAL METHODS IN THE STUDY OF ECONOMIC MODELS (Continued), Pages 292-348 SOLUTIONS TO PROBLEMS OF CHAPTERS 5–9, Pages 349-359 INTRODUCTION TO APPENDIXES, Page 361 APPENDIX A - VECTOR SPACES AND MATRICES, Pages 362-396 APPENDIX B - CONVEX SETS AND CONVEX FUNCTIONS, Pages 397-406 APPENDIX C - MISCELLANEOUS TOPICS, Pages 407-413 BIBLIOGRAPHY, Pages 415-427 INDEX, Pages 431-433

Virtue theory, natural law, deontology, utilitarianism, existentialism: these are the basic moral theories taught in “Ethics,” “History of Philosophy,” and “Introduction to Philosophy” courses throughout the United States. When the American philosopher William James (1842 – 1910) find his way into these conversations, there is uncertainty about where his thinking fits. While utilitarianism has become the default position for teaching James’s pragmatism and radical empiricism, this default position fails to address and explain James’s multiple criticisms of John Stuart Mill’s formulaic approach to questions concerning the moral life. Through close readings of James’s writings, the chapters in __William James, Moral Philosophy, and the Ethical Life__ catalogue the ways in which James wants to avoid the following: (a) the hierarchies of Christian natural law theory, (b) the moral calculus of Mill’s utilitarianism, (c) the absolutism and principle-ism of Immanuel Kant’s deontology, and (d) the staticity of the virtues found in Aristotle’s moral theory. Elaborating upon and clarifying James’s differences from these dominant moral theories is a crucial feature of this collection. This collection, is not, however, intended to be wholly negative – that is, only describing to readers what James’s moral theory is not. It seeks to articulate the positive features of James’s ethics and moral reasoning: what does it mean to an ethical life, and how should we theorize about morality?

<p><p>in This Single-volume Edition Of A Noted 2-volume Text, The Author Synthesizes The Concepts Of Game Theory, Programming Theory, And The Concepts And Techniques Of Mathematical Economics Into A Single Systematic Theory. Discusses The Theory Of Matrix Games; Nonlinear Programming And Mathematical Economics. Includes Solutions To Most Of The Problems And Hints For Solving Others. 1959 Edition.<p></p> <h3>booknews</h3> <p>unaltered Republication Of Two Volumes (bound Here As One) Published In 1959 By Addison-wesley: Matrix Games, Programming, And Mathematical Economics, And The Theory Of Infinite Games. Annotation C. Book News, Inc., Portland, Or (booknews.com)</p>

277 p. 24 cm

<p>Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus, <i>Introduction to Stochastic Modeling, 4e,</i> bridges the gap between basic probability and an intermediate level course in stochastic processes. The objectives of the text are to introduce students to the standard concepts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to provide exercises in the application of simple stochastic analysis to realistic problems.</p> <p>New to this edition: </p> <ul><li>Realistic applications from a variety of disciplines integrated throughout the text, including more biological applications</li><li>Plentiful, completely updated problems</li><li>Completely updated and reorganized end-of-chapter exercise sets, 250 exercises with answers</li><li>New chapters of stochastic differential equations and Brownian motion and related processes</li><li>Additional sections on Martingale and Poisson process</li></ul><br><br><p>• Realistic applications from a variety of disciplines integrated throughout the text.</p> <p>• Extensive end of chapter exercises sets, 250 with answers </p> <p>• Chapter 1-9 of the new edition are identical to the previous edition</p> <p>• New! Chapter 10 - Random Evolutions </p> <p>• New! Chapter 11- Characteristic functions and Their Applications </p>

This Second Course continues the development of the theory and applications of stochastic processes as promised in the preface of A First Course. We emphasize a careful treatment of basic structures in stochastic processes in symbiosis with the analysis of natural classes of stochastic processes arising from the biological, physical, and social sciences. -- description from https://books.google.com

XI, 502 Seiten : Literaturangaben

Includes bibliographies

xi, 502 p. : 24 cm Includes bibliographies

By S. Karlin And L. S. Shapely. References: P. 92-93.

A random field is a mathematical model of evolutional fluctuating complex systems parametrized by a multi-dimensional manifold like a curve or a surface. As the parameter varies, the random field carries much information and hence it has complex stochastic structure. The authors of this text use an approach that is characteristic: namely, they first construct innovation, which is the most elemental stochastic process with a basic and simple way of dependence, and then express the given field as a function of the innovation. They therefore establish an infinite-dimensional stochastic calculus, in particular a stochastic variational calculus. The analysis of functions of the innovation is essentially infinite-dimensional. The authors use not only the theory of functional analysis, but also their new tools for the study Conditional probability and conditional expectation -- Markov chains: introduction -- Long run behavior of markov chains -- Poisson processes -- Continuos time markov chains -- renewal phenomena -- Brownian motion and related processes -- Queueing systems

1 (p1): 第1章 随机过程初步 1 (p2): 1.1 基本术语、随机变量和分布函数性质的复习 17 (p3): 1.2 随机过程的两个简单例子 21 (p4): 1.3 一般随机过程的分类 26 (p5): 1.4 随机过程的确定 27 (p6): 初等问题 29 (p7): 问题 36 (p8): 附记 36 (p9): 参考书目 37 (p10): 第2章 马尔可夫链 37 (p11): 2.1 定义 39 (p12): 2.2 马尔可夫链的例子 48 (p13): 2.3 马尔可夫链的转移概率矩阵 49 (p14): 2.4 马尔可夫链的状态分类 51 (p15): 2.5 常返性 56 (p16): 2.6 常返马尔可夫链的例子 61 (p17): 2.7 关于常返性的补充 62 (p18): 初等问题 65 (p19): 问题 68 (p20): 附记 68 (p21): 参考书目 69 (p22): 第3章 马尔可夫链的基本极限定理和应用 69 (p23): 3.1 离散更新方程 75 (p24): 3.2 定理1.1的证明 77 (p25): 3.3 吸收概率 82 (p26): 3.4 常返性准则 85 (p27): 3.5 一个排队例子 91 (p28): 3.6 另一个排队模型 95 (p29): 3.7 随机游动 97 (p30): 初等问题 101 (p31): 问题 105 (p32): 附记 105 (p33): 参考书目 106 (p34): 第4章 连续时间马尔可夫链的古典例子 106 (p35): 4.1 一般纯生过程和泊松过程 111 (p36): 4.2 泊松过程的补充 115 (p37): 4.3 计数模型 118 (p38): 4.4 生灭过程 121 (p39): 4.5 生灭过程的微分方程 124 (p40): 4.6 生灭过程的例子 130 (p41): 4.7 带有吸收状态的生灭过程 134 (p42): 4.8 有限状态连续时间马尔可夫链 137 (p43): 初等问题 141 (p44): 问题 147 (p45): 附记 148 (p46): 参考书目 149 (p47): 第5章 更新过程 149 (p48): 5.1 更新过程的定义和有关概念 151 (p49): 5.2 更新过程的一些例子 153 (p50): 5.3 若干特殊更新过程的补充 160 (p51): 5.4 更新方程和初等更新定理 168 (p52): 5.5 更新定理 170 (p53): 5.6 更新定理的应用 174 (p54): 5.7 更新过程的推广 187 (p55): 5.8 更新理论更复杂的应用 195 (p56): 5.9 更新过程的叠加 202 (p57): 初等问题 203 (p58): 问题 209 (p59): 参考书目 210 (p60): 第6章 鞅 210 (p61): 6.1 初步定义和例子 219 (p62): 6.2 上鞅和下鞅 224 (p63): 6.3 可选抽样定理 232 (p64): 6.4 可选抽样定理的若干应用 246 (p65): 6.5 鞅收敛定理 255 (p66): 6.6 鞅收敛定理的应用和扩展 265 (p67): 6.7 关于σ域族的鞅 279 (p68): 6.8 其他类型的鞅 290 (p69): 初等问题 296 (p70): 问题 304 (p71): 附记 304 (p72): 参考书目 306 (p73): 第7章 布朗运动 306 (p74): 7.1 背景材料 308 (p75): 7.2 布朗运动的联合概率 310 (p76): 7.3 轨道的连续性和最大值变量 315 (p77): 7.4 变形和推广 320 (p78): 7.5 用鞅方法计算若干布朗运动的量 327 (p79): 7.6 多维布朗运动 333 (p80): 7.7 布朗运动的轨道 344 (p81): 初等问题 346 (p82): 问题 351 (p83): 附记 351 (p84): 参考书目 352 (p85): 第8章 分支过程 352 (p86): 8.1 离散时间分支过程 353 (p87): 8.2 分支过程的母函数表示 356 (p88): 8.3 消失概率 359 (p89): 8.4 例子 363 (p90): 8.5 二维分支过程 370 (p91): 8.6 多维分支过程 371 (p92): 8.7 连续时间分支过程 375 (p93): 8.8 连续时间分支过程的消失概率 378 (p94): 8.9 连续时间分支过程的极限定理 382 (p95): 8.10 二维连续时间分支过程 388 (p96): 8.11 一般寿命的分支过程 393 (p97): 初等问题 395 (p98): 问题 398 (p99): 附记 398 (p100): 参考书目 399 (p101): 第9章 平稳过程 399 (p102): 9.1 定义和例子 405 (p103): 9.2 平均平方距离 415 (p104): 9.3 平均平方误差预测 423 (p105): 9.4 协方差平稳过程的预测 427 (p106): 9.5 遍历理论和平稳过程 441 (p107): 9.6 遍历理论的应用 454 (p108): 9.7 协方差平稳过程的谱分析 460 (p109): 9.8 高斯系统 466 (p110): 9.9 平稳点过程 468 (p111): 9.10 水平交叉问题 473 (p112): 初等问题 476 (p113): 问题 482 (p114): 附记 482 (p115): 参考书目 483 (p116): 附录 矩阵分析的复习 497 (p117): 索引

Dale Purves, George J. Augustine, David Fitzpatrick, William C. Hall, Anthony-Samuel LaMantia, Richard D. Mooney, Michael L. Platt, Leonard E. White5.0 / 5.0 9 comments This comprehensive textbook provides a balance of animal and human studies to discuss the dynamic field of neuroscience from cellular signaling to cognitive function. The book's length and accessible writing style make it suitable for both medical students and undergraduate neuroscience courses.Each new book includes a one-year subscription to Sylvius 4 Online.Categories:Medicine - NeurologyYear:2018Edition:6thPublisher:Sinauer AssociatesLanguage:englishPages:28 / 959ISBN 10:1605353809ISBN 13:9781605353807File:PDF, 89.49 MB

<p>The ongoing decline in union membership is generally attributed to an increasingly hostile economic, legal, and managerial environment. Samuel B. Bacharach, Peter A. Bamberger, and William J. Sonnenstuhl argue that the decline may have more to do with a crisis of union legitimacy and member commitment. They further suggest that both problems could be addressed if the unions return to their nineteenth-century, mutual aid-based roots.<P> The authors contend that the labor movement is characterized by two models of union-member relations: the mutual aid logic and the servicing logic. The first predominated in the early days and encouraged a sense of community among members who worked to support one another. In the twentieth century, it was largely replaced by the servicing model, which asks little of members, who remain loyal only if their leaders deliver increasing wages and benefits.<P> Regaining legitimacy and strengthening member commitment can only happen, the authors claim, if mutual aid logic is allowed to return. They examine three unions in the transportation industry to judge the effectiveness of new programs created after the old model.<br><P><B>About the Authors:</b><BR> Samuel B. Bacharach is McKelvey-Grant Professor of Labor-Management Relations in the New York State School of Industrial and Labor Relations at Cornell University. <P>Peter A. Bamberger is Associate Professor of Industrial Engineering and Management at Technion: Israel Institute of Technology, Haifa. <p>William J. Sonnenstuhl is Associate Professor of Organizational Behavior at the New York State School of Industrial and Labor Relations, Cornell University, and author of <i>Working Sober</i>. <p>Bacharach, Bamberger, and Sonnenstuhl are coauthors of <i>Member Assistance Programs in the Workplace</i>.</p>