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Mathematical statistics :an introduc...

Rossi, Richard J., (1956-)

Mathematical statistics :an introduction to likelihood based inference /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mathematical statistics :Richard J. Rossi.
Reminder of title:	an introduction to likelihood based inference /
Author:	Rossi, Richard J.,
Published:	Hoboken, NJ :John Wiley & Sons, Inc.,2018.
Description:	xvii, 422 p. :ill. ;24 cm.
Subject:	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 /
LDR:02082nam a2200277 a 4500 001 571065
003 OCoLC
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008 200908s2018 njua b 001 0 eng c
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020 4 6 $a cam a2200265 a 450
020 $a 9781118771044 : $c $124.95
020 $a 1118771044
035 $a (OCoLC)1027738699 $z (OCoLC)1018042551
035 $a on1027738699
040 $a WaSeSS/DLC $b eng $c DLC $d OCLCO $d BDX $d OCLCQ $d OCLCF $d YDX $d TOH $d YDX $d OCLCO $d FIE $d OCLCQ $d OCLCO
042 $a pcc
050 0 0 $a QA276.A2 $b R67 2018
082 0 0 $a 519.5/4 $2 23
100 1 $a Rossi, Richard J., $d 1956- $3 541266
245 1 0 $a Mathematical statistics : $b an introduction to likelihood based inference / $c Richard J. Rossi.
260 $a Hoboken, NJ : $b John Wiley & Sons, Inc., $c 2018.
300 $a xvii, 422 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 0 $a Probability -- Random variables and random vectors -- Probability models -- Parametric point estimation -- Likelihood based estimation -- Hypothesis testing -- Generalized linear models.
520 $a 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. -- $c Provided by publisher.
650 0 $a Mathematical statistics. $3 181877
776 0 8 $i Online version: $a Rossi, Richard J., 1956- $t Mathematical statistics. $b 1st edition. $d Hoboken, NJ : John Wiley & Sons, 2018 $z 9781118770979 $w (DLC) 2018010628