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Verlag: Chapman and Hall/CRC 2019-08-30, 2019
ISBN 10: 0367396637 ISBN 13: 9780367396633
Sprache: Englisch
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Verlag: ISTE Ltd and John Wiley & Sons Inc, London, 2010
ISBN 10: 1848212895 ISBN 13: 9781848212893
Sprache: Englisch
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Erstausgabe
Hardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Verlag: ISTE Ltd and John Wiley & Sons Inc, London, 2010
ISBN 10: 1848212690 ISBN 13: 9781848212695
Sprache: Englisch
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Erstausgabe
Hardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Verlag: Chapman and Hall/CRC 2001-11-28, 2001
ISBN 10: 1584881860 ISBN 13: 9781584881865
Sprache: Englisch
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 165,25
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Verlag: ISTE Ltd and John Wiley & Sons Inc, 2011
ISBN 10: 1848212895 ISBN 13: 9781848212893
Sprache: Englisch
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Verlag: ISTE Ltd and John Wiley & Sons Inc, 2010
ISBN 10: 1848212895 ISBN 13: 9781848212893
Sprache: Englisch
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Erstausgabe
Zustand: New. 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. Num Pages: 252 pages, black & white tables, figures. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 236 x 162 x 20. Weight in Grams: 516. . 2011. 1st Edition. Hardcover. . . . .
EUR 180,00
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In den WarenkorbZustand: New. Brand new! Please provide a physical shipping address.
Verlag: ISTE Ltd and John Wiley & Sons Inc, 2010
ISBN 10: 1848212690 ISBN 13: 9781848212695
Sprache: Englisch
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Erstausgabe
Zustand: New. 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. Num Pages: 326 pages. BIC Classification: PBK. Category: (P) Professional & Vocational. Dimension: 234 x 163 x 25. Weight in Grams: 628. . 2011. 1st Edition. Hardcover. . . . .