1.

Record Nr.

UNINA990006283070403321

Autore

Kretschmar, Gustav

Titolo

Die Natur des Praelegats nach roemischem Recht / von Gustav Kretschmar

Pubbl/distr/stampa

Leipzig : Rossberg'schen Buchhandlun, 1874

Descrizione fisica

VIII, 297 p. ; 24 cm

Disciplina

340.54

Locazione

FGBC

Collocazione

DONO SCUTO IV 57

Lingua di pubblicazione

Tedesco

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNISALENTO991000659689707536

Autore

Somare, Grata

Titolo

Tibet / G. Somare, L. Vigorelli

Pubbl/distr/stampa

Milano : ClupGuide, 1988

ISBN

8870058190

Descrizione fisica

259 p. : ill. ; 17 cm.

Altri autori (Persone)

Vigorelli, Leonardo

Disciplina

915.150458

Soggetti

Tibet - Guide

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia



3.

Record Nr.

UNINA9910502983803321

Autore

Bedbur Stefan

Titolo

Multivariate Exponential Families: A Concise Guide to Statistical Inference / / by Stefan Bedbur, Udo Kamps

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021

ISBN

9783030819002

3030819000

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (147 pages)

Collana

SpringerBriefs in Statistics, , 2191-5458

Disciplina

519.5

Soggetti

Statistics

Biometry

Computer science - Mathematics

Mathematical statistics

Statistical Theory and Methods

Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences

Biostatistics

Probability and Statistics in Computer Science

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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

Sommario/riassunto

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.