Fundamentals of Statistics

"Statisticians generally recognise a division of their field into two broad areas, viz. statistical theory (or mathematical statistics) and statistical methods. Covering a wide ground, the two volumes of 'Fundamentals of Statistics' give a systematic and self-contained account of the methods. The theoretical principles underlying the techniques are nonetheless properly stated and, as far as possible, mathematical derivations are not avoided either. Ever since its first appearance more than two decades back, the book has remained an outstanding work of its kind, and it has proved as much useful to Pass and Honours students of statistics as to research workers in various sciences. The first three chapters of the present volume are devoted to the mathematical tools (including mathematical probability) that are needed for an understanding of the subsequent chapters and to numerical mathematics Chapters 4-20, that form the main body of the volume, present a detailed description of statistical concepts and techniques of a genera type. These are characterised by a rather elaborate treatment of theoretical distributions, or association, of correlation and regression, and of the various forms of statistical inference (including a discussion of non-parametric methods). Copious examples and exercises are there, too, for helping the reader towards a better understanding of the subject-matter. A notable feature is Appendix A, on the normal law of errors, that has enhanced the value of the volume."