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Life Distributions - Structure of Nonparametric, Semiparametric, and Parametric Families
Preface
7
Suggestions for Using this Book
8
Acknowledgements
10
Contents
12
Basic Notation and Terminology
18
Notation
18
Section and Equation Numbering
19
Basics
20
Preliminaries
21
A. Introduction
21
B. Probabilistic Descriptions
25
C. Moments and Other Expectations
40
D. Families of Distributions
43
E. Mixtures of Distributions: Introduction
44
F. Parametric Families: Basic Examples
46
G. Nonparametric Families: Basic Examples
48
H. Functions of Random Variables
50
I. Inverse Distributions: The Lorenz Curve and the Total Time on Test Transform
53
Ordering Distributions: Descriptive Statistics
64
A. Magnitude
66
B. Dispersion
78
C. Shape
84
D. Cone Orders
93
Mixtures
95
A. Basic Ideas
96
B. The Conditional Mixing Distribution
99
C. Limiting Hazard Rates
102
D. Hazard Transforms of Mixtures
104
E. Mixtures and Minima
108
F. Preservation of Orders Under Mixtures
110
Nonparametric Families
111
Nonparametric Families: Densities and Hazard Rates
112
A. Introduction
112
B. Log-Concave and Log-Convex Densities
113
C. Monotone Hazard Rates
118
D. Bathtub Hazard Rates
135
E. Determination of Hazard Rate Shape
148
Nonparametric Families: Origins in Reliability Theory
152
A. Coherent Systems
152
B. Monotone Hazard Rate Averages
166
C. New Better (Worse) Than Used Distributions
176
D. Decreasing Mean Residual Life Distributions
184
E. New Better (Worse) Than Used in Expectation Distributions
188
F. Additional Nonparametric Families of Distributions
192
G. Summary of Relationships and Closure Properties
195
H. Shock Models
197
I. Replacement Policies: Renewal Theory
202
J. Some Additional Families
207
Nonparametric Families: Inequalities for Moments and Survival Functions
209
A. Results Concerning Moments
209
B. Bounds for Survival Functions
212
Semiparametric Families
229
Semiparametric Families
230
A. Introduction
230
B. Location Parameters
233
C. Scale Parameters
237
D. Power Parameters
241
E. Frailty and Resilience Parameters: Proportional Hazards and Reverse Hazards
245
F. Tilt Parameters: Proportional Odds Ratios, Extreme Stable Families
255
G. Hazard Power Parameters
269
H. Moment Parameters
271
I. Laplace Transform Parameters
273
J. Convolution Parameters
274
K. Age Parameters: Residual Life Families
277
L. Successive Additions of Parameters
278
M. Mixing Semiparametric Families
280
N. Summary of Order Properties
296
O. Additional Semiparametric Families
297
P. Distributions not Admitting Parameters
298
Parametric Families
301
The Exponential Distribution
302
A. Defining Functions
303
B. Characterizations of the Exponential Distribution
307
C. Some Basic Properties of Exponential Distributions
313
Parametric Extensions of the Exponential Distribution
319
A. The Gamma Distribution
320
B. The Weibull Distribution
331
C. Exponential Distributions with a Resilience Parameter
343
D. Exponential Distributions with a Tilt Parameter
348
E. Generalized Gamma ( Gamma– Weibull) Distribution
358
F. Weibull Distribution with a Resilience Parameter
363
G. Residual Life of the Weibull Distribution
365
H. Weibull Distribution with a Tilt Parameter
365
I. Generalized Gamma Convolutions
369
J. Summary of Distributions and Hazard Rates
370
Gompertz and Gompertz–Makeham Distributions
372
A. The Gompertz Distribution
373
B. The Extensions of Makeham
384
C. Further Extensions of the Gompertz Distribution
399
D. Summary of Distributions and Hazard Rates
405
The Pareto and F Distributions and Their Parametric Extensions
408
A. Introduction
408
B. Pareto Distributions
409
C. Generalized F Distribution
420
D. The F Distribution
427
E. Ordering Pareto and F Distributions
432
F. Another Generalization of the Pareto Distribution
433
Logarithmic Distributions
435
A. Introduction
435
B. The Lognormal Distribution
439
C. Log Logistic Distributions
449
D. Log Extreme Value Distributions
450
E. The Log Cauchy Distribution
451
F. The Log Student’s t Distribution
453
G. Alternatives for the Logarithm Function
453
The Inverse Gaussian Distribution
458
A. The Inverse Gaussian Distribution
459
B. The Generalized Inverse Gaussian Distribution
466
C. The Birnbaum–Saunders Distribution
473
Distributions with Bounded Support
479
A. Introduction
479
B. The Uniform Distribution and One- Parameter Extensions
481
C. The Beta Distribution
485
D. Additional Two-Parameter Extensions of the Uniform Distribution
495
E. Introduction of a Scale Parameter
499
F. Algebraic Structure of the Distributions on [0, 1]
500
Additional Parametric Families
502
A. Noncentral Chi-Square Distributions
502
B. Noncentral F Distributions
506
C. A Noncentral Beta Distribution and the Noncentral Squared Multiple Correlation Distribution
509
D. Log Distributions from Nonnegative Random Variables
514
E. Another Extension of the Exponential Distribution
523
F. Weibull–Pareto–Beta Distribution
525
G. Composite Distributions
528
H. Stable Distributions
534
Models Involving Several Variables
536
Covariate Models
537
A. Introduction
537
B. Some Regression Models
540
C. Regression Models for Other Parameters
544
Several Types of Failure: Competing Risks
545
A. Definitions and Notation
546
B. The Problem of Identifiability
551
C. Assumption of Independence
553
D. Verifiability of Independence
558
E. Known Copula
559
F. Positively Dependent Latent Variables
561
More About Semi-parametric Families
564
Characterizations Through Coincidences of Semiparametric Families
565
A. Introduction
566
B. Coincidences Leading to Continuous Distributions
570
C. Coincidences Leading to Discrete Distributions
598
D. Unresolved Coincidences
609
More About Semiparametric Families
612
A. Introduction: Stability Criteria
612
B. Classification of Parameters
613
C. Derivation of Families
620
D. Orderings Generated by Semiparametric Families
627
E. Related Stronger Orders
631
Complementary Topics
633
Some Topics from Probability Theory
634
A. Foundations
634
B. Moments
643
C. Convergence
649
D. Laplace Transforms and Infinite Divisibility
652
E. Some Discrete Distributions
657
F. Poisson and P´ olya Processes: Renewal Theory
662
G. Extreme-Value Distributions
668
H. Chebyshev’s Covariance Inequality
672
I. Multivariate Basics
673
Convexity and Total Positivity
686
A. Convex Functions
686
B. Total Positivity
693
Some Functional Equations
700
A. Cauchy’s Equations
700
B. Variants of Cauchy’s Equations
703
C. Some Additional Functional Equations
711
Gamma and Beta Functions
715
A. The Gamma Function
715
B. The Beta Function
720
Some Topics from Analysis
726
A. Basic Results from Calculus
726
B. Some Results Concerning Lebesgue Integrals
728
References
730
Author Index
760
Subject Index
768
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