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Exercises and solutions in statistic...

Kupper, Lawrence L.

Exercises and solutions in statistical theory /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Exercises and solutions in statistical theory /Lawrence L. Kupper, Brian H. Neelon, Sean M. O'Brien.
作者:	Kupper, Lawrence L.
其他作者:	Neelon, Brian H.
出版者:	Boca Raton :CRC Press,c2013.
面頁冊數:	xviii, 369 p. ;24 cm.
標題:	Probabilities
電子資源:	http://images.tandf.co.uk/common/jackets/websmall/978146657/9781466572898.jpg
ISBN:	9781466572898 (pbk.) :

Exercises and solutions in statistical theory /
Kupper, Lawrence L.

Exercises and solutions in statistical theory /Lawrence L. Kupper, Brian H. Neelon, Sean M. O'Brien. - Boca Raton :CRC Press,c2013. - xviii, 369 p. ;24 cm. - Chapman & Hall/CRC texts in statistical science.

Includes bibliographical references (p. 359-363) and index.

"This book contains exercises and selected detailed solutions covering statistical theory (from basic probability theory through the theory of statistical inference) that is typically taught in courses taken by advanced undergraduate students and graduate students in many quantitative disciplines (e.g., statistics, biostatistics, mathematics, engineering, physics, computer science, psychometrics, epidemiology, etc.). Many exercises in this book deal with real-life scenarios in such important application areas as medicine, epidemiology, clinical trials, actuarial science, social science, psychometrics, parapsychology, engineering, wear testing, lot acceptance sampling, physics, chemistry, biology, environmental health, highway safety research, genetics, gambling, and sports. Several of these exercises illustrate the utility of important statistical areas such as study design strategies, sampling from finite populations, maximum likelihood, asymptotic theory, correlated data analysis, multilevel models, queueing theory, latent class analysis, conditional inference, order statistics, regression analysis, autoregressive models, survival analysis, generalized linear models, Bayesian analysis, measurement and misclassification error, group testing, and interrater agreement methods. Numerous exercises contain references to published books and articles that both students and instructors can use to obtain more information about the particular statistical topics being considered"--

ISBN: 9781466572898 (pbk.) :NT$1746

LCCN: 2013004215Subjects--Topical Terms:

269300
Probabilities

LC Class. No.: QA273.25 / .K87 2013

Dewey Class. No.: 519.5076

Exercises and solutions in statistical theory /
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050 0 0 $a QA273.25 $b .K87 2013
082 0 0 $a 519.5076 $2 23
084 $a MAT029000 $2 bisacsh
100 1 $a Kupper, Lawrence L. $3 508410
245 1 0 $a Exercises and solutions in statistical theory / $c Lawrence L. Kupper, Brian H. Neelon, Sean M. O'Brien.
260 $a Boca Raton : $b CRC Press, $c c2013.
300 $a xviii, 369 p. ; $c 24 cm.
490 0 $a Chapman & Hall/CRC texts in statistical science
504 $a Includes bibliographical references (p. 359-363) and index.
520 $a "This book contains exercises and selected detailed solutions covering statistical theory (from basic probability theory through the theory of statistical inference) that is typically taught in courses taken by advanced undergraduate students and graduate students in many quantitative disciplines (e.g., statistics, biostatistics, mathematics, engineering, physics, computer science, psychometrics, epidemiology, etc.). Many exercises in this book deal with real-life scenarios in such important application areas as medicine, epidemiology, clinical trials, actuarial science, social science, psychometrics, parapsychology, engineering, wear testing, lot acceptance sampling, physics, chemistry, biology, environmental health, highway safety research, genetics, gambling, and sports. Several of these exercises illustrate the utility of important statistical areas such as study design strategies, sampling from finite populations, maximum likelihood, asymptotic theory, correlated data analysis, multilevel models, queueing theory, latent class analysis, conditional inference, order statistics, regression analysis, autoregressive models, survival analysis, generalized linear models, Bayesian analysis, measurement and misclassification error, group testing, and interrater agreement methods. Numerous exercises contain references to published books and articles that both students and instructors can use to obtain more information about the particular statistical topics being considered"-- $c Provided by publisher.
650 0 $a Probabilities $3 269300
650 7 $a MATHEMATICS / Probability & Statistics / General. $2 bisacsh $3 603543
700 1 $a Neelon, Brian H. $3 508412
700 1 $a O'Brien, Sean M. $3 508411
856 4 2 $3 Cover image $u http://images.tandf.co.uk/common/jackets/websmall/978146657/9781466572898.jpg