Manuscripts presenting new results in a classical field, new field, or an emerging topic, or bridges between new results and already published works, are encouraged. This series is intended for mathematicians and other scientists with interest in probability and mathematical statistics. All volumes published in this series undergo a thorough refereeing process. The SBPMS series is published under the auspices of the Bernoulli Society for Mathematical Statistics and Probability.
Manuscripts presenting new results in a classical field, new field, or an emerging topic, or bridges between new results and already published works, are encouraged. This series is intended for mathematicians and other scientists with interest in probability and mathematical statistics. All volumes published in this series undergo a thorough refereeing process.
Probability and Mathematical Statistics: An Introduction provides a well-balanced first introduction to probability theory and mathematical statistics.
This book is organized into two sections encompassing nine chapters. The first part deals with the concept and elementary properties of probability space, and random variables and their probability distributions. This part also considers the principles of limit theorems, the distribution of random variables, and the so-called student's distribution. The second part explores pertinent topics in mathematical statistics, including the concept of sampling, estimation, and hypotheses testing.
This book is intended primarily for undergraduate statistics students.
"40 Puzzles and Problems in Probability and Mathematical Statistics" is intended to teach the reader to think probabilistically by solving challenging, non-standard probability problems. The motivation for this clearly written collection lies in the belief that challenging problems help to develop, and to sharpen, our probabilistic intuition much better than plain-style deductions from abstract concepts. The selected problems fall into two broad categories. Problems related to probability theory come first, followed by problems related to the application of probability to the field of mathematical statistics. All problems seek to convey a non-standard aspect or an approach which is not immediately obvious. The word puzzles in the title refers to questions in which some qualitative, non-technical insight is most important. Ideally, puzzles can teach a productive new way of framing or representing a given situation. Although the border between the two is not always clearly defined, problems tend to require a more systematic application of formal tools, and to stress more technical aspects. Thus, a major aim of the present collection is to bridge the gap between introductory texts and rigorous state-of-the-art books. Anyone with a basic knowledge of probability, calculus and statistics will benefit from this book; however, many of the problems collected require little more than elementary probability and straight logical reasoning. To assist anyone using this book for self-study, the author has included very detailed step-for-step solutions of all problems and also short hints which point the reader in the appropriate direction.
Introduction to probability and mathematical statistics Lee J. Bain,Max Engelhardt Snippet view - 1987 |
is published by the Kazimierz Urbanik Center for Probability and Mathematical Statistics, and is sponsored jointly by Wrocław University and Wrocław University of Technology. The purpose of the journal is to publish original contributions to the theory of probability and mathematical statistics.
Probability and Mathematical Statistics was founded in 1980 and its establishment was a result of the initiative of the Wrocław probability community led by Kazimierz Urbanik and Czesław Ryll-Nardzewski, and statistics community represented by Witold Klonecki. They served as Editors of the journal during the first twenty-five years of its existence, with Urbanikshouldering the role of the Editor-in-Chief. Beginning with 2007, PMS became anaffiliated journal of the Institute of Mathematical Statistics (IMS),San Francisco, CA. PMS (ISSN 0208-4147) is indexed by Scopus, Index Copernicus and Journal Citation Reports (IF=0.452). PMS is an open access journal.
All papers are refereed. Decisions on acceptance of papers are made by the Editorial Board. Manuscripts should be e-mailed as pdf or ps files to:
V. K. Rohatgi
Snippet view - 1976
PROBABILITY AND MATHEMATICAL STATISTICS is published in one volume(2 issues) a year. Orders for subscriptions and back fascicles should be addressed to: