Mikhail S. Nikulin – författare

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12 produkter

Mathematical Methods in Survival Analysis, Reliability and Quality of Life
AvMikhail S. Nikulin,Mounir Mesbahm. fl.
E-bok
PDF, Engelska, 2010
3 234 kr
Läs direkt efter köp
Reliability and survival analysis are important applications of stochastic mathematics (probability, statistics and stochastic processes) that are usually covered separately in spite of the similarity of the involved mathematical theory. This title aims to redress this situation: it includes 21 chapters divided into four parts: Survival analysis, Reliability, Quality of life, and Related topics. Many of these chapters were presented at the European Seminar on Mathematical Methods for Survival Analysis, Reliability and Quality of Life in 2006.
Nonparametric Tests for Complete Data
AvMikhail S. Nikulin,Julius Kruopism. fl.
E-bok
PDF, Engelska, 2013
2 343 kr
Läs direkt efter köp
This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.
Nonparametric Tests for Complete Data
AvMikhail S. Nikulin,Julius Kruopism. fl.
E-bok
Engelska, 2013
2 343 kr
Läs direkt efter köp
This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.
Nonparametric Tests for Censored Data
AvMikhail S. Nikulin,Julius Kruopism. fl.
E-bok
PDF, Engelska, 2013
2 216 kr
Läs direkt efter köp
This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.
Nonparametric Tests for Censored Data
AvMikhail S. Nikulin,Julius Kruopism. fl.
E-bok
Engelska, 2013
2 216 kr
Läs direkt efter köp
This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.
Mathematical Methods in Survival Analysis, Reliability and Quality of Life
AvMikhail S. Nikulin,Mounir Mesbahm. fl.
E-bok
Engelska, 2013
3 268 kr
Läs direkt efter köp
Reliability and survival analysis are important applications of stochastic mathematics (probability, statistics and stochastic processes) that are usually covered separately in spite of the similarity of the involved mathematical theory. This title aims to redress this situation: it includes 21 chapters divided into four parts: Survival analysis, Reliability, Quality of life, and Related topics. Many of these chapters were presented at the European Seminar on Mathematical Methods for Survival Analysis, Reliability and Quality of Life in 2006.
Chi-squared Goodness-of-fit Tests for Censored Data
AvEkaterina V. Chimitova,Mikhail S. Nikulin
E-bok
PDF, Engelska, 2017
2 216 kr
Läs direkt efter köp
This book is devoted to the problems of construction and application of chi-squared goodness-of-fit tests for complete and censored data. Classical chi-squared tests assume that unknown distribution parameters are estimated using grouped data, but in practice this assumption is often forgotten. In this book, we consider modified chi-squared tests, which do not suffer from such a drawback. The authors provide examples of chi-squared tests for various distributions widely used in practice, and also consider chi-squared tests for the parametric proportional hazards model and accelerated failure time model, which are widely used in reliability and survival analysis. Particular attention is paid to the choice of grouping intervals and simulations.

This book covers recent innovations in the field as well as important results previously only published in Russian. Chi-squared tests are compared with other goodness-of-fit tests (such as the Cramer-von Mises-Smirnov, Anderson-Darling and Zhang tests) in terms of power when testing close competing hypotheses.
Chi-squared Goodness-of-fit Tests for Censored Data
AvEkaterina V. Chimitova,Mikhail S. Nikulin
E-bok
Engelska, 2017
2 193 kr
Läs direkt efter köp
This book is devoted to the problems of construction and application of chi-squared goodness-of-fit tests for complete and censored data. Classical chi-squared tests assume that unknown distribution parameters are estimated using grouped data, but in practice this assumption is often forgotten. In this book, we consider modified chi-squared tests, which do not suffer from such a drawback. The authors provide examples of chi-squared tests for various distributions widely used in practice, and also consider chi-squared tests for the parametric proportional hazards model and accelerated failure time model, which are widely used in reliability and survival analysis. Particular attention is paid to the choice of grouping intervals and simulations.

This book covers recent innovations in the field as well as important results previously only published in Russian. Chi-squared tests are compared with other goodness-of-fit tests (such as the Cramer-von Mises-Smirnov, Anderson-Darling and Zhang tests) in terms of power when testing close competing hypotheses.
Chi-squared Goodness-of-fit Tests for Censored Data
AvMikhail S. Nikulin,Ekaterina V. Chimitova
Häftad, Engelska, 2017
1 812 kr
Skickas inom 5-8 vardagar
This book is devoted to the problems of construction and application of chi-squared goodness-of-fit tests for complete and censored data. Classical chi-squared tests assume that unknown distribution parameters are estimated using grouped data, but in practice this assumption is often forgotten. In this book, we consider modified chi-squared tests, which do not suffer from such a drawback. The authors provide examples of chi-squared tests for various distributions widely used in practice, and also consider chi-squared tests for the parametric proportional hazards model and accelerated failure time model, which are widely used in reliability and survival analysis. Particular attention is paid to the choice of grouping intervals and simulations.This book covers recent innovations in the field as well as important results previously only published in Russian. Chi-squared tests are compared with other goodness-of-fit tests (such as the Cramer-von Mises-Smirnov, Anderson-Darling and Zhang tests) in terms of power when testing close competing hypotheses.
Mathematical Methods in Survival Analysis, Reliability and Quality of Life
AvCatherine Huber,Nikolaos Limniosm. fl.
Inbunden, Engelska, 2008
2 866 kr
Skickas inom 11-20 vardagar
Reliability and survival analysis are important applications of stochastic mathematics (probability, statistics and stochastic processes) that are usually covered separately in spite of the similarity of the involved mathematical theory. This title aims to redress this situation: it includes 21 chapters divided into four parts: Survival analysis, Reliability, Quality of life, and Related topics. Many of these chapters were presented at the European Seminar on Mathematical Methods for Survival Analysis, Reliability and Quality of Life in 2006.
Nonparametric Tests for Complete Data
AvVilijandas Bagdonavicius,Julius Kruopism. fl.
Inbunden, Engelska, 2010
2 036 kr
Skickas inom 11-20 vardagar
Statistical analysis of data sets usually involves construction of a statistical model of the distribution of data within the available sample – and by extension the distribution of all data of the same category in the world. Statistical models are either parametric or non-parametric – this distinction is based on whether or not the model can be described in terms of a finite-dimensional parameter – and the models must be tested to ascertain whether or not they conform to the data, or are accurate.This book addresses the testing of hypotheses in non-parametric models in the general case for complete data samples. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered, and explained. Tests featured include the chi-squared and modified chi-squared tests, rank and homogeneity tests, and most of the test results are proved, with real applications illustrated using examples. The incorrect use of many tests, and their application using commonly deployed statistical software is highlighted and discussed.
Nonparametric Tests for Censored Data
AvVilijandas Bagdonavicius,Julius Kruopism. fl.
Inbunden, Engelska, 2010
1 945 kr
Skickas inom 11-20 vardagar
Statistical analysis of data sets usually involves construction of a statistical model of the distribution of data within the available sample – and by extension the distribution of all data of the same category in the world. Statistical models are either parametric or non-parametric – this distinction is based on whether or not the model can be described in terms of a finite-dimensional parameter – and the models must be tested to ascertain whether or not they conform to the data, or are accurate.This book addresses the testing of hypotheses in non-parametric models in the specific case of censored or truncated data samples. In particular, the applicability of standard tests to incomplete data sets is considered – for example the use of the chi-squared test for parametric accelerated failure time regression models, which are widely used in reliability, accelerated life testing, and survival analysis, is detailed.Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of censored data are considered, and explained. Tests featured include the chi-squared and modified chi-squared tests, rank and homogeneity tests, and most of the test results are proved, with real applications illustrated using examples. The incorrect use of many tests, and their application using commonly deployed statistical software is highlighted and discussed.Theories and exercises are provided, making this book suitable for use in a one semester course in non-parametric statistics and tests.

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Mikhail S. Nikulin – författare

Mathematical Methods in Survival Analysis, Reliability and Quality of Life

Nonparametric Tests for Complete Data

Nonparametric Tests for Complete Data

Nonparametric Tests for Censored Data

Nonparametric Tests for Censored Data

Mathematical Methods in Survival Analysis, Reliability and Quality of Life

Chi-squared Goodness-of-fit Tests for Censored Data

Chi-squared Goodness-of-fit Tests for Censored Data

Chi-squared Goodness-of-fit Tests for Censored Data

Mathematical Methods in Survival Analysis, Reliability and Quality of Life

Nonparametric Tests for Complete Data

Nonparametric Tests for Censored Data

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