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Advances in statisticstheory and app...

Arnold, Barry C.

Advances in statisticstheory and applications : honoring the contributions of Barry C. Arnold in statistical science /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in statisticsedited by Indranil Ghosh, N. Balakrishnan, Hon Keung Tony Ng.
其他題名:	theory and applications : honoring the contributions of Barry C. Arnold in statistical science /
其他作者:	Ghosh, Indranil.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xxxviii, 421 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Mathematical statistics.
電子資源:	https://doi.org/10.1007/978-3-030-62900-7
ISBN:	9783030629007$q(electronic bk.)

Advances in statisticstheory and applications : honoring the contributions of Barry C. Arnold in statistical science /
Advances in statisticstheory and applications : honoring the contributions of Barry C. Arnold in statistical science /[electronic resource] :edited by Indranil Ghosh, N. Balakrishnan, Hon Keung Tony Ng. - Cham :Springer International Publishing :2021. - xxxviii, 421 p. :ill., digital ;24 cm. - Emerging topics in statistics and biostatistics,2524-7735. - Emerging topics in statistics and biostatistics..

1. Wrapped gamma distribution for modeling and inference with asymmetric circular data - Ashis SenGupta, Carlos A. Coelho, Choung Min Ng -- 2. Goodness of fit tests for Cauchy distributions using data transformations - Jose A. Villasenor -- 3. A note on the product of independent beta random variables - Filipe J. Marques, Indranil Ghosh, Johan Ferreira, Andriette Bekker -- 4. Properties of system lifetime distributions in the classic model of independent exponential component lifetimes - Tomasz Rychlik -- 5. On the exact statistical distribution of econometric estimators and test statistics - Yong Bao, Xiaotian Liu, Aman Ullah -- 6. On conditional tail inferences from multivariate distributions - Harry Joe -- 7. A bivariate distribution with generalized exponential conditionals: Theory and applications - Miroslav Ristic, Bozidar V. Popovic, Indranil Ghosh -- 8. Assessment of distributional goodness-of-fit for modeling the superposition of renewal process data - Wei Zhang, William Q. Meeker -- 9. Skew-Elliptical Thomas point processes - Ngoc Anh Dao, Marc G. Genton -- 10. Bayesian model assessment and selection using Bregman divergence - Gyuhyeong Goh, Dipak K. Dey -- 11. On hidden truncation in non-normal models - Indranil Ghosh, Hon Keung Tony Ng.

This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C. Arnold. A pioneering scholar and professor of statistics at the University of California, Riverside, Dr. Arnold has made exceptional advancements in different areas of probability, statistics, and biostatistics, especially in the areas of distribution theory, order statistics, and statistical inference. As a tribute to his work, this book presents novel developments in the field, as well as practical applications and potential future directions in research and industry. It will be of interest to graduate students and researchers in probability, statistics, and biostatistics, as well as practitioners and technicians in the social sciences, economics, engineering, and medical sciences.

ISBN: 9783030629007$q(electronic bk.)

Standard No.: 10.1007/978-3-030-62900-7doiSubjects--Personal Names:

205745
Arnold, Barry C.
Subjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Advances in statisticstheory and applications : honoring the contributions of Barry C. Arnold in statistical science /
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520 $a This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C. Arnold. A pioneering scholar and professor of statistics at the University of California, Riverside, Dr. Arnold has made exceptional advancements in different areas of probability, statistics, and biostatistics, especially in the areas of distribution theory, order statistics, and statistical inference. As a tribute to his work, this book presents novel developments in the field, as well as practical applications and potential future directions in research and industry. It will be of interest to graduate students and researchers in probability, statistics, and biostatistics, as well as practitioners and technicians in the social sciences, economics, engineering, and medical sciences.
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