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Parametric & Semiparametric Models with Applications to Reliability, Survival Analysis, & Quality of Life Book

Parametric & Semiparametric Models with Applications to Reliability, Survival Analysis, & Quality of Life
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Parametric & Semiparametric Models with Applications to Reliability, Survival Analysis, & Quality of Life, Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume examines these tools in survey articles written by experts currently working on the develop, Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life
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  • Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life
  • Written by author M.S. Nikulin
  • Published by Birkhauser Verlag, 4/30/2013
  • Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume examines these tools in survey articles written by experts currently working on the develop
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1 Estimation in partly parametric additive Cox models 3
2 Nonparametric maximum likelihood estimation in the proportional hazards model with covariate measurement error 13
3 Diagnostics for Cox's proportional hazards model 27
4 Semiparametric analysis of degradation and failure time data with covariates 41
5 On a degradation-failure model for repairable items 65
6 Comparison of parametric and semiparametric estimates in a degradation model with covariates and traumatic censoring 81
7 Accelerated life testing, fuzzy information and generalized probability 99
8 Asymptotic theory in rank estimation for AFT model under fixed censorship 107
9 An example of optimal design in accelerated experiments 121
10 Aspects of multivariate aging in exchangeable frailty models 135
11 Semiparametric models in the studies of aging and longevity 149
12 Semiparametric transformation models for arbitrarily censored and truncated data 167
13 EM algorithm for type-II right censored bivariate normal data 177
14 Statistical estimation based on interval censored data 211
15 The covariate order method for nonparametric exponential regression and some applications in other lifetime models 221
16 Effect of ignoring heterogeneity in hazards regression 239
17 An introduction to efficient estimation for semiparametric time series 253
18 Distance-based multivariate two sample tests 273
19 Empirical likelihood in nonparametric and semiparametric models 291
20 Goodness of fit tests of L[subscript 2]-type 307
21 Asymptotic properties of the CRT estimators for multicentre studies 333
22 HRQoL and concomitant adjusted mean residual life analysis 349
23 Semiparametric approach to the multivariate mixed Rasch model 363
24 Breast cancer prognosis using survival forests 385
25 Semiparametric versus parametric regression analysis based on the bounded cumulative hazard model : an application to breast cancer recurrence 399
26 Estimation of analytic spectral density of Gaussian stationary processes 419
27 Sub-optimal estimation of an unknown function from stationary noisy data 445
28 On parameter estimation by contaminated observations of ergodic diffusion processes 461
29 On parameter estimation for a position-dependent marking of a doubly stochastic Poisson process 473
30 Discrete time semi-Markov processes for reliability and survival analysis - a nonparametric estimation approach 487
31 Non-parametric estimation on lifetimes of subjects exposed to radiation from a semi-Markov process 503
32 An extension of Levy's formula to weighted Wiener processes 519
33 Sur l'Inegalite de Concentration de Doeblin-Levy, Rogozin-Kesten 533


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Parametric & Semiparametric Models with Applications to Reliability, Survival Analysis, & Quality of Life, Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume examines these tools in survey articles written by experts currently working on the develop, Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life

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Parametric & Semiparametric Models with Applications to Reliability, Survival Analysis, & Quality of Life, Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume examines these tools in survey articles written by experts currently working on the develop, Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life

Parametric & Semiparametric Models with Applications to Reliability, Survival Analysis, & Quality of Life

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Parametric & Semiparametric Models with Applications to Reliability, Survival Analysis, & Quality of Life, Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume examines these tools in survey articles written by experts currently working on the develop, Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life

Parametric & Semiparametric Models with Applications to Reliability, Survival Analysis, & Quality of Life

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