By D. R. Cox (auth.), C. Huber-Carol, N. Balakrishnan, M. S. Nikulin, M. Mesbah (eds.)

ISBN-10: 1461201039

ISBN-13: 9781461201038

ISBN-10: 1461266130

ISBN-13: 9781461266136

The 37 expository articles during this quantity offer huge insurance of significant issues in terms of the speculation, tools, and purposes of goodness-of-fit checks and version validity. The ebook is split into 8 components, each one of which provides themes written by means of professional researchers of their areas.

Key good points include:

* cutting-edge exposition of recent version validity tools, graphical innovations, and computer-intensive methods

* systematic presentation with adequate historical past and insurance of the basics of the subject

* publicity to contemporary examine and various open problems

* many fascinating real-life examples for practitioners

* wide bibliography, with distinct emphasis on contemporary literature

* topic index

This entire reference paintings will serve the statistical and utilized arithmetic groups in addition to practitioners within the field.

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Extra resources for Goodness-of-Fit Tests and Model Validity

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15. Pardo, M. C. (1999). On Burbea-Rao divergence based goodness-of-fit tests for multinomial models, Journal of Multivariate Analysis, 69, 6587. 16. Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arise:p from random sampling, Philosophical Magazine, 50, 157-172. 17. Rao, C. R. (1948). Large sample tests of statistical hypotheses concerning several parameters with applications to problems of estimation, Proceedings of the Cambridge Philosophical Society, 44, 50-57.

N. The distribution of r can be obtained by simulation, drawing samples from F(xlJ-L = 0, a = 1). 22 C. R. Rao In conclusion, the tests described in this paper may have different power functions depending on the alternatives, but none of them dominates the others. The purpose of data analysis is learning from data, and a global test is only of an exploratory nature. Of greater interest is the study of the pattern of deviations between observed and expected frequencies. No doubt a global test provides some confidence in search for possible alternatives.

3 above; 1000 simulations 379 380 381 408 409 410 410 429 430 431 432 Goodness-of- Fit Tests and Model Validity PART I HISTORY AND FUNDAMENTALS 1 Karl Pearson and the Chi-Squared Test D. R. Cox Nuffield College, Oxford, England, UK Abstract: This historical and review paper is in three parts. The first gives some brief details about Karl Pearson. The second describes in outline the 1900 paper which is being celebrated at this conference. The third provides some perspective on the importance, historically and contemporarily, of the chi-squared test.

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Goodness-of-Fit Tests and Model Validity by D. R. Cox (auth.), C. Huber-Carol, N. Balakrishnan, M. S. Nikulin, M. Mesbah (eds.)


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