國立虎尾科技大學 |

Multivariate Exponential Families: A Concise Guide to Statistical Inference

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Multivariate Exponential Families: A Concise Guide to Statistical Inference/ by Stefan Bedbur, Udo Kamps.
作者:	Bedbur, Stefan.
其他作者:	Kamps, Udo.
面頁冊數:	X, 142 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics . -
電子資源:	https://doi.org/10.1007/978-3-030-81900-2
ISBN:	9783030819002

Multivariate Exponential Families: A Concise Guide to Statistical Inference
Bedbur, Stefan.

Multivariate Exponential Families: A Concise Guide to Statistical Inference[electronic resource] /by Stefan Bedbur, Udo Kamps. - 1st ed. 2021. - X, 142 p. 1 illus.online resource. - SpringerBriefs in Statistics,2191-5458. - SpringerBriefs in Statistics,0.

Introduction -- Parametrizations and Basic Properties -- Distributional and Statistical Properties -- Parameter Estimation -- Hypotheses Testing -- Exemplary Multivariate Applications.

This book provides a concise introduction to exponential families. Parametric families of probability distributions and their properties are extensively studied in the literature on statistical modeling and inference. Exponential families of distributions comprise density functions of a particular form, which enables general assertions and leads to nice features. With a focus on parameter estimation and hypotheses testing, the text introduces the reader to distributional and statistical properties of multivariate and multiparameter exponential families along with a variety of detailed examples. The material is widely self-contained and written in a mathematical setting. It may serve both as a concise, mathematically rigorous course on exponential families in a systematic structure and as an introduction to Mathematical Statistics restricted to the use of exponential families.

ISBN: 9783030819002

Standard No.: 10.1007/978-3-030-81900-2doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Multivariate Exponential Families: A Concise Guide to Statistical Inference
LDR:02450nam a22003975i 4500 001 1055829
003 DE-He213
005 20211007172935.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030819002 $9 978-3-030-81900-2
024 7 $a 10.1007/978-3-030-81900-2 $2 doi
035 $a 978-3-030-81900-2
050 4 $a QA276-280
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.5 $2 23
100 1 $a Bedbur, Stefan. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1361114
245 1 0 $a Multivariate Exponential Families: A Concise Guide to Statistical Inference $h [electronic resource] / $c by Stefan Bedbur, Udo Kamps.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a X, 142 p. 1 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Statistics, $x 2191-5458
505 0 $a Introduction -- Parametrizations and Basic Properties -- Distributional and Statistical Properties -- Parameter Estimation -- Hypotheses Testing -- Exemplary Multivariate Applications.
520 $a This book provides a concise introduction to exponential families. Parametric families of probability distributions and their properties are extensively studied in the literature on statistical modeling and inference. Exponential families of distributions comprise density functions of a particular form, which enables general assertions and leads to nice features. With a focus on parameter estimation and hypotheses testing, the text introduces the reader to distributional and statistical properties of multivariate and multiparameter exponential families along with a variety of detailed examples. The material is widely self-contained and written in a mathematical setting. It may serve both as a concise, mathematically rigorous course on exponential families in a systematic structure and as an introduction to Mathematical Statistics restricted to the use of exponential families.
650 0 $a Statistics . $3 1253516
650 0 $a Mathematical statistics. $3 527941
650 1 4 $a Statistical Theory and Methods. $3 671396
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 782247
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 670172
650 2 4 $a Probability and Statistics in Computer Science. $3 669886
700 1 $a Kamps, Udo. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1321300
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030818999
776 0 8 $i Printed edition: $z 9783030819019
830 0 $a SpringerBriefs in Statistics, $x 2191-544X ; $v 0 $3 1254767
856 4 0 $u https://doi.org/10.1007/978-3-030-81900-2
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)