Statistics for Mathematicians: A Rigorous First Course

✍ Scribed by Victor M. Panaretos (auth.)

• Publisher: Birkhäuser Basel
• Year: 2016
• Tongue: English
• Leaves: 190
• Series: Compact Textbooks in Mathematics
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xv
Regular Probability Models....Pages 1-40
Sampling from Probability Distributions....Pages 41-59
Point Estimation of Model Parameters....Pages 61-93
Tests of Hypotheses for Model Parameters....Pages 95-129
Confidence Intervals for Model Parameters....Pages 131-150
Back Matter....Pages 151-177

✦ Subjects

Statistical Theory and Methods; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Statistics for Business/Economics/Mathematical Finance/Insurance; Probability Theory and Stochastic Processes