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Mathematical statistics :an introduc...
~
Rossi, Richard J., (1956-)
Mathematical statistics :an introduction to likelihood based inference /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Mathematical statistics :Richard J. Rossi.
其他題名:
an introduction to likelihood based inference /
作者:
Rossi, Richard J.,
出版者:
Hoboken, NJ :John Wiley & Sons, Inc.,2018.
面頁冊數:
xvii, 422 p. :ill. ;24 cm.
標題:
Mathematical statistics.
ISBN:
cam a2200265 a 450
Mathematical statistics :an introduction to likelihood based inference /
Rossi, Richard J.,1956-
Mathematical statistics :
an introduction to likelihood based inference /Richard J. Rossi. - Hoboken, NJ :John Wiley & Sons, Inc.,2018. - xvii, 422 p. :ill. ;24 cm.
Includes bibliographical references and index.
Probability -- Random variables and random vectors -- Probability models -- Parametric point estimation -- Likelihood based estimation -- Hypothesis testing -- Generalized linear models.
This book addresses mathematical statistics for upper- undergraduates and first year graduate students, tying chapters on estimation, confidence intervals, hypothesis testing, and statistical models together to present a unifying focus on the likelihood function. It also emphasizes the important ideas in statistical modeling, such as sufficiency, exponential family distributions, and large sample properties. Mathematical Statistics: An Introduction to Likelihood Based Inference makes advanced topics accessible and understandable and covers many topics in more depth than typical mathematical statistics textbooks. It includes numerous examples, case studies, a large number of exercises ranging from drill and skill to extremely difficult problems, and many of the important theorems of mathematical statistics along with their proofs. --
ISBN: cam a2200265 a 450
LCCN: 2018003972Subjects--Topical Terms:
181877
Mathematical statistics.
LC Class. No.: QA276.A2 / R67 2018
Dewey Class. No.: 519.5/4
Mathematical statistics :an introduction to likelihood based inference /
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This book addresses mathematical statistics for upper- undergraduates and first year graduate students, tying chapters on estimation, confidence intervals, hypothesis testing, and statistical models together to present a unifying focus on the likelihood function. It also emphasizes the important ideas in statistical modeling, such as sufficiency, exponential family distributions, and large sample properties. Mathematical Statistics: An Introduction to Likelihood Based Inference makes advanced topics accessible and understandable and covers many topics in more depth than typical mathematical statistics textbooks. It includes numerous examples, case studies, a large number of exercises ranging from drill and skill to extremely difficult problems, and many of the important theorems of mathematical statistics along with their proofs. --
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