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010   $a9783030819002
010   $a3030819000
024 7 $a10.1007/978-3-030-81900-2
035   $a(CKB)5140000000012951
035   $a(MiAaPQ)EBC6747489
035   $a(Au-PeEL)EBL6747489
035   $a(OCoLC)1281958968
035   $a(PPN)25829812X
035   $a(DE-He213)978-3-030-81900-2
035   $a(EXLCZ)995140000000012951
100   $a20211007d2021      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMultivariate Exponential Families: A Concise Guide to Statistical Inference /$fby Stefan Bedbur, Udo Kamps
205   $a1st ed. 2021.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021.
215   $a1 online resource (147 pages)
225 1 $aSpringerBriefs in Statistics,$x2191-5458
311 08$a9783030818999 
311 08$a3030818993 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- Parametrizations and Basic Properties -- Distributional and Statistical Properties -- Parameter Estimation -- Hypotheses Testing -- Exemplary Multivariate Applications.
330   $aThis book provides a concise introduction to exponential families. Parametric families of probability distributions and their properties are extensively studied in the literature on statistical modeling and inference. Exponential families of distributions comprise density functions of a particular form, which enables general assertions and leads to nice features. With a focus on parameter estimation and hypotheses testing, the text introduces the reader to distributional and statistical properties of multivariate and multiparameter exponential families along with a variety of detailed examples. The material is widely self-contained and written in a mathematical setting. It may serve both as a concise, mathematically rigorous course on exponential families in a systematic structure and as an introduction to Mathematical Statistics restricted to the use of exponential families.
410  0$aSpringerBriefs in Statistics,$x2191-5458
606   $aStatistics
606   $aStatistics
606   $aBiometry
606   $aComputer science$xMathematics
606   $aMathematical statistics
606   $aStatistical Theory and Methods
606   $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
606   $aBiostatistics
606   $aProbability and Statistics in Computer Science
615  0$aStatistics.
615  0$aStatistics.
615  0$aBiometry.
615  0$aComputer science$xMathematics.
615  0$aMathematical statistics.
615 14$aStatistical Theory and Methods.
615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
615 24$aBiostatistics.
615 24$aProbability and Statistics in Computer Science.
676   $a519.5
700   $aBedbur$b Stefan$01072927
702   $aKamps$b Udo$f1959-
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910502983803321
996   $aMultivariate exponential families$92897505
997   $aUNINA