Reprint of the original, first published in 1861.

A look at solving problems in three areas of classical elementary mathematics: equations and systems of equations of various kinds, algebraic inequalities, and elementary number theory, in particular divisibility and diophantine equations. In each topic, brief theoretical discussions are followed by carefully worked out examples of increasing difficulty, and by exercises which range from routine to rather more challenging problems. While it emphasizes some methods that are not usually covered in beginning university courses, the book nevertheless teaches techniques and skills which are useful beyond the specific topics covered here. With approximately 330 examples and 760 exercises.

On the one hand, theories of modern physics are very successful in their areas of application. But on the other hand, the irreconcilability of General Relativity (GR) and Quantum Electrodynamics (QED) suggests that these theories of modern physics are not the final answer regarding the fundamental workings of the universe. This monograph takes the position that the key to advances in the foundations of physics lies in the hypothesis that massive systems made up of antimatter are repulsed by the gravitational field of a body of ordinary matter: this hypothesis takes us to an uncharted territory where GR and QED do not hold up. From there the Elementary Process Theory (EPT) is developed: this is a collection of seven generalized process-physical principles that do hold up if the hypothesis is a fact of nature. Using four-dimensionalistic terminology, the EPT abstractly describes an elementary process in the temporal evolution of a massive system that interacts with its environment. The idea is that these elementary processes take place at Planck scale and are essentially all the same, regardless of the type of interaction that takes place: the EPT is thus intended as a candidate for a unifying scheme that applies to all four basic interactions. By mathematical modeling, the relation is explored between the EPT and classical mechanics, quantum mechanics, special relativity and GR.

Since the publication of the first edition of this work, considerable progress has been made in many of the questions examined. This edition has been updated and enlarged, and the bibliography has been revised.The variety of topics covered here includes divisibility, diophantine equations, prime numbers (especially Mersenne and Fermat primes), the basic arithmetic functions, congruences, the quadratic reciprocity law, expansion of real numbers into decimal fractions, decomposition of integers into sums of powers, some other problems of the additive theory of numbers and the theory of Gaussian integers.

"The text is very clearly written [with] many illustrative examples and exercises [and] should be considered by those instructors who would like to introduce a more modern (and a more logical) approach in a basic course in statistics." —Journal of the American Statistical Association This volume is a well-known, well-respected introduction to a lively area of statistics. Professors Chernoff and Moses bring years of professional expertise as classroom teachers to this straightforward approach to statistical problems. And happily, for beginning students, they have by-passed involved computational reasonings which would only confuse the mathematical novice. Developed from nine years of teaching statistics at Stanford, the book furnishes a simple and clear-cut method of exhibiting the fundamental aspects of a statistical problem. Beginners will find this book a motivating introduction to important mathematical notions such as set, function and convexity. Examples and exercises throughout introduce new topics and ideas. The first seven chapters are recommended for beginning courses in the basic ideas of statistics and require only a knowledge of high school math. These sections include material on data processing, probability and random variables, utility and descriptive statistics, uncertainty due to ignorance of the state of nature, computing Bayes strategies and an introduction to classical statistics. The last three chapters review mathematical models and summarize terminology and methods of testing hypotheses. Tables and appendixes provide information on notation, shortcut computational formulas, axioms of probability, properties of expectations, likelihood ratio test, game theory, and utility functions. Authoritative, yet elementary in its approach to statistics and statistical theory, this work is also concise, well-indexed and abundantly equipped with exercise material. Ideal for a beginning course, this modestly priced edition will be especially valuable to those interested in the principles of statistics and scientific method.