1.

Record Nr.

UNINA9910769180903321

Titolo

Genes Nutrition

Pubbl/distr/stampa

England

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Periodico

2.

Record Nr.

UNINA9910254091203321

Autore

Panaretos Victor M.

Titolo

Statistics for Mathematicians : A Rigorous First Course / / by Victor M. Panaretos

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2016

ISBN

3-319-28341-3

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (XV, 177 p. 17 illus., 15 illus. in color.)

Collana

Compact Textbooks in Mathematics, , 2296-455X

Disciplina

519.5

Soggetti

Statistics

Probabilities

Statistical Theory and Methods

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

Statistics in Business, Management, Economics, Finance, Insurance

Probability Theory

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Foreword -- Regular Probability Models -- Sampling From Probability Distributions -- Point Estimation of Model Parameters -- Tests of Hypotheses for Model Parameters -- Confidence Intervals for Model Parameters -- Appendix -- Bibliography.

Sommario/riassunto

This textbook provides a coherent introduction to the main concepts and methods of one-parameter statistical inference. Intended for



students of Mathematics taking their first course in Statistics, the focus is on Statistics for Mathematicians rather than on Mathematical Statistics. The goal is not to focus on the mathematical/theoretical aspects of the subject, but rather to provide an introduction to the subject tailored to the mindset and tastes of Mathematics students, who are sometimes turned off by the informal nature of Statistics courses. This book can be used as the basis for an elementary semester-long first course on Statistics with a firm sense of direction that does not sacrifice rigor. The deeper goal of the text is to attract the attention of promising Mathematics students.