Bøger af Timothy C Kearns

This book is an excellent compilation, review, and summary of the fundamentals of mathematics and statistics for prospective teachers, graduate students that are returning to school in technical disciplines, talented high school students planning to go on to college, and for anybody that needs to, wants to, or just enjoys reading about math, statistics, and its many applications. The book is organized into three main parts: Math Fundamentals, Probability Fundamentals, and Statistics Fundamentals. In the math part, there are chapters on logic, set and number theory, algebra and geometry, and the fundamentals of trigonometry and the single variable calculus. In the probability part, there are chapters on combinatorics and probability, random variables, probability distributions and their parameters. In the statistics part, there are chapters on simple random samples and some common statistics, the law of large numbers, many common probability distributions, the normal distribution and its relation to the Central Limit Theorem, the basics of small and large sample statistical inference involving hypothesis testing and confidence interval estimation, and an introduction to linear regression and the associated idea of correlation. The reader has been supplied with many exercises, along with the answers in an appendix. These should help to reinforce the basic ideas for the reader as they proceed through the book. It should be noted that there is a significant amount of the book devoted to the single variable calculus, since it is so important for many students of technical subjects. However, the last two parts of the book devoted to probability and statistics are presented in an entirely algebraic way and do not involve calculus. This should not lessen the books usefulness for most readers.

Foundations of Mathematics and Statistics is a summary of the basic principles of math and statistics for students of the sciences. The goal is to provide a good foundation of knowledge and ability with the basics of math and statistics that students need. This includes logic, sets, number systems, algebra, geometry, trigonometry, and the calculus. Then the remainder of the book deals with the fundamental topics of applied and mathematical statistics, including probability, random variables, expected value, samples, distributions, hypothesis testing, confidence intervals, and an introduction to linear regression and correlation. The book is meant to be used by college and graduate level students that need a good review of math fundamentals, with an introduction to basic statistical thinking and methodology. Those that need a good familiarity with math and statistics at the college and graduate levels would find this book a valuable supplemental reading, along with the fair amount of exercises that are included in order to reinforce the important ideas.

"Fundamentals of Calculus and Probability" is a book intended for students that have already had a course or two in Calculus, but perhaps not recently. The book is an assortment of topics related to basic mathematical and statistical analysis. It starts with a discussion of the real number system and some set theory, which includes a discussion of countable and uncountable infinity, which is an important and relevant part of advanced mathematics. From there, the book contains a chapter that provides a review of some of the key concepts of single-variable calculus. Then the book discusses a bit of so-called "measure" and how this relates to the integers, rationals, irrational, and real number systems. Finally, the book discusses probability, important probability distributions, and a good introduction to the basic concepts of statistical estimation and statistical inference (hypothesis testing). Along the way, the author interjects some of his own speculations about certain mathematical topics, and some comments about probability distributions, and in addition some topics involving space and time. It is not a textbook with exercises, but it has an abundance of examples throughout to explain the essential concepts and ideas. The book should appeal to students returning to school for graduate study, in a field such as statistics, that would benefit from an overview of many important topics in mathematics and statistics, which they will encounter in their advanced studies.