<p>我有这本书，还不错！给出目录：</p><p>Contents<br/>Preface ............................................................................ vii<br/>Acknowledgements............................................................ xi<br/>Basic Notation and Terminology ........................................ xix<br/>Part I. Basics<br/>1. Preliminaries............................................................... 3<br/>A. Introduction............................................................... 3<br/>B. Probabilistic Descriptions .............................................. 7<br/>C. Moments and Other Expectations.................................... 22<br/>D. Families of Distributions ............................................... 25<br/>E. Mixtures of Distributions: Introduction ............................. 26<br/>F. Parametric Families: Basic Examples................................ 28<br/>G. Nonparametric Families: Basic Examples........................... 30<br/>H. Functions of Random Variables....................................... 32<br/>I. Inverse Distributions: The Lorenz Curve and the<br/>Total Time on Test Transform ....................................... 35<br/>2. Ordering Distributions: Descriptive Statistics ................ 47<br/>A. Magnitude................................................................. 49<br/>B. Dispersion ................................................................. 61<br/>C. Shape....................................................................... 67<br/>D. Cone Orders............................................................... 76<br/>3. Mixtures..................................................................... 79<br/>A. Basic Ideas ................................................................ 80<br/>B. The Conditional Mixing Distribution................................ 83<br/>C. Limiting Hazard Rates.................................................. 86<br/>xiv Contents<br/>D. Hazard Transforms of Mixtures....................................... 88<br/>E. Mixtures and Minima................................................... 92<br/>F. Preservation of Orders Under Mixtures ............................. 94<br/>Part II. Nonparametric Families<br/>4. Nonparametric Families: Densities and<br/>Hazard Rates.............................................................. 97<br/>A. Introduction............................................................... 97<br/>B. Log-Concave and Log-Convex Densities............................. 98<br/>C. Monotone Hazard Rates................................................ 103<br/>D. Bathtub Hazard Rates.................................................. 120<br/>E. Determination of Hazard Rate Shape................................ 133<br/>5. Nonparametric Families: Origins in<br/>Reliability Theory ....................................................... 137<br/>A. Coherent Systems........................................................ 137<br/>B. Monotone Hazard Rate Averages..................................... 151<br/>C. New Better (Worse) Than Used Distributions..................... 161<br/>D. Decreasing Mean Residual Life Distributions ...................... 169<br/>E. New Better (Worse) Than Used in Expectation<br/>Distributions.............................................................. 173<br/>F. Additional Nonparametric Families of Distributions ............. 177<br/>G. Summary of Relationships and Closure Properties................ 180<br/>H. Shock Models ............................................................. 182<br/>I. Replacement Policies: Renewal Theory.............................. 187<br/>J. Some Additional Families.............................................. 192<br/>6. Nonparametric Families: Inequalities for Moments<br/>and Survival Functions................................................. 195<br/>A. Results Concerning Moments.......................................... 195<br/>B. Bounds for Survival Functions ........................................ 198<br/>Part III. Semiparametric Families<br/>7. Semiparametric Families .............................................. 217<br/>A. Introduction............................................................... 217<br/>B. Location Parameters .................................................... 220<br/>C. Scale Parameters......................................................... 224<br/>D. Power Parameters........................................................ 228<br/>Contents xv<br/>E. Frailty and Resilience Parameters: Proportional Hazards<br/>and Reverse Hazards.................................................... 232<br/>F. Tilt Parameters: Proportional Odds Ratios,<br/>Extreme Stable Families................................................ 242<br/>G. Hazard Power Parameters.............................................. 256<br/>H. Moment Parameters..................................................... 258<br/>I. Laplace Transform Parameters........................................ 260<br/>J. Convolution Parameters................................................ 261<br/>K. Age Parameters: Residual Life Families............................. 264<br/>L. Successive Additions of Parameters.................................. 265<br/>M. Mixing Semiparametric Families...................................... 267<br/>N. Summary of Order Properties......................................... 283<br/>O. Additional Semiparametric Families ................................. 284<br/>P. Distributions not Admitting Parameters............................ 285<br/>Part IV. Parametric Families<br/>8. The Exponential Distribution....................................... 291<br/>A. Defining Functions ...................................................... 292<br/>B. Characterizations of the Exponential Distribution................ 296<br/>C. Some Basic Properties of Exponential Distributions ............. 302<br/>9. Parametric Extensions of the Exponential<br/>Distribution................................................................ 309<br/>A. The Gamma Distribution.............................................. 310<br/>B. The Weibull Distribution .............................................. 321<br/>C. Exponential Distributions with a Resilience Parameter ......... 333<br/>D. Exponential Distributions with a Tilt Parameter................. 338<br/>E. Generalized Gamma (Gamma–Weibull) Distribution ............ 348<br/>F. Weibull Distribution with a Resilience Parameter................ 353<br/>G. Residual Life of the Weibull Distribution........................... 355<br/>H. Weibull Distribution with a Tilt Parameter ....................... 355<br/>I. Generalized Gamma Convolutions ................................... 359<br/>J. Summary of Distributions and Hazard Rates...................... 360<br/>10. Gompertz and Gompertz–Makeham Distributions.......... 363<br/>A. The Gompertz Distribution ........................................... 364<br/>B. The Extensions of Makeham .......................................... 375<br/>C. Further Extensions of the Gompertz Distribution ................ 390<br/>D. Summary of Distributions and Hazard Rates...................... 396<br/>xvi Contents<br/>11. Pareto and F Distributions and Their<br/>Parametric Extensions................................................. 399<br/>A. Introduction .............................................................. 399<br/>B. Pareto Distributions .................................................... 400<br/>C. Generalized F Distribution............................................ 411<br/>D. The F Distribution...................................................... 418<br/>E. Ordering Pareto and F Distributions................................ 423<br/>F. Another Generalization of the Pareto Distribution ............... 424<br/>12. Logarithmic Distributions ............................................ 427<br/>A. Introduction .............................................................. 427<br/>B. The Lognormal Distribution .......................................... 431<br/>C. Log Logistic Distributions ............................................. 441<br/>D. Log Extreme Value Distributions .................................... 442<br/>E. The Log Cauchy Distribution......................................... 443<br/>F. The Log Student’s t Distribution..................................... 445<br/>G. Alternatives for the Logarithm Function ........................... 445<br/>13. The Inverse Gaussian Distribution................................ 451<br/>A. The Inverse Gaussian Distribution................................... 452<br/>B. The Generalized Inverse Gaussian Distribution ................... 459<br/>C. The Birnbaum–Saunders Distribution............................... 466<br/>14. Distributions with Bounded Support............................. 473<br/>A. Introduction .............................................................. 473<br/>B. The Uniform Distribution and One-Parameter<br/>Extensions ................................................................ 475<br/>C. The Beta Distribution .................................................. 479<br/>D. Additional Two-Parameter Extensions of the<br/>Uniform Distribution ................................................... 489<br/>E. Introduction of a Scale Parameter ................................... 493<br/>F. Algebraic Structure of the Distributions on [0, 1]................. 494<br/>15. Additional Parametric Families..................................... 497<br/>A. Noncentral Chi-Square Distributions ................................ 497<br/>B. Noncentral F Distributions ............................................ 501<br/>C. A Noncentral Beta Distribution and the Noncentral<br/>Squared Multiple Correlation Distribution ......................... 504<br/>D. Log Distributions from Nonnegative Random Variables......... 509<br/>E. Another Extension of the Exponential Distribution .............. 518<br/>F. Weibull–Pareto–Beta Distribution ................................... 521<br/>Contents xvii<br/>G. Composite Distributions ............................................... 523<br/>H. Stable Distributions..................................................... 529<br/>Part V. Models Involving Several Variables<br/>16. Covariate Models......................................................... 533<br/>A. Introduction .............................................................. 533<br/>B. Some Regression Models ............................................... 536<br/>C. Regression Models for Other Parameters ........................... 540<br/>17. Several Types of Failure: Competing Risks .................... 541<br/>A. Definitions and Notation............................................... 542<br/>B. The Problem of Identifiability ........................................ 547<br/>C. Assumption of Independence.......................................... 549<br/>D. Verifiability of Independence .......................................... 554<br/>E. Known Copula ........................................................... 555<br/>F. Positively Dependent Latent Variables.............................. 557<br/>Part VI. More About Semi-parametric Families<br/>18. Characterizations Through Coincidences of<br/>Semiparametric Families .............................................. 563<br/>A. Introduction .............................................................. 564<br/>B. Coincidences Leading to Continuous Distributions ............... 568<br/>C. Coincidences Leading to Discrete Distributions ................... 596<br/>D. Unresolved Coincidences ............................................... 607<br/>19. More About Semiparametric Families ........................... 611<br/>A. Introduction: Stability Criteria ....................................... 611<br/>B. Classification of Parameters ........................................... 612<br/>C. Derivation of Families .................................................. 619<br/>D. Orderings Generated by Semiparametric Families ................ 626<br/>E. Related Stronger Orders ............................................... 630<br/>Part VII. Complementary Topics<br/>20. Some Topics from Probability Theory........................... 635<br/>A. Foundations............................................................... 635<br/>B. Moments .................................................................. 644<br/>C. Convergence .............................................................. 650<br/>xviii Contents<br/>D. Laplace Transforms and Infinite Divisibility ....................... 653<br/>E. Some Discrete Distributions........................................... 658<br/>F. Poisson and P&acute;olya Processes: Renewal Theory .................... 663<br/>G. Extreme-Value Distributions .......................................... 669<br/>H. Chebyshev’s Covariance Inequality .................................. 673<br/>I. Multivariate Basics...................................................... 674<br/>21. Convexity and Total Positivity...................................... 687<br/>A. Convex Functions........................................................ 687<br/>B. Total Positivity .......................................................... 694<br/>22. Some Functional Equations........................................... 701<br/>A. Cauchy’s Equations ..................................................... 701<br/>B. Variants of Cauchy’s Equations....................................... 704<br/>C. Some Additional Functional Equations ............................. 712<br/>23. Gamma and Beta Functions ......................................... 717<br/>A. The Gamma Function .................................................. 717<br/>B. The Beta Function ...................................................... 722<br/>24. Some Topics from Analysis........................................... 729<br/>A. Basic Results from Calculus........................................... 729<br/>B. Some Results Concerning Lebesgue Integrals ...................... 731<br/>References........................................................................ 733<br/>Author Index ................................................................... 763<br/>Subject Index................................................................... 771</p>

太贵了，人不可贪心，你定价1，受益反而高，定价10，收益反而低。还是经济学学的不好。

<p>不是我贪心，银子太少了，我想下点别的资料都没有法子下，只好出此下策。</p><p>如果版主愿意给加精华贴，可以马上变成免费共享。</p>

nice

<p>看目录好像还不错</p>