Statistics/Data Mining

Coverage includes theoretical and applied statistics, the calculus of probability and many other terms employed in operation research, experimental science and other related fields.

Provides concise definitions of all the terms likely to be encountered by students of Statistics and of disciplines featuring statistical material such as politics, medicine, and mathematics.

v. 1. A to buys - ballot table -- v. 2. Calcutta Statistical Association bulletin to cyclic sampling -- v. 3. D'Agostino test of normality to eye estimate -- v. 4. Faá Di Bruno's formula to graduation, Whittaker - Henderson -- v. 5. Graeco-Latin squares to International Statistical Institute (ISI) -- v. 6. International statistical review to line intersect sampling -- v. 7. Lineo-normal distribution to mixtures of normal distributions, estimation of -- v. 8. Mizutani distribution to Nyquist frequency -- v. 9. Oakes's test of concordance to preference functions -- v. 10. Preference mapping to recovery of interblock information -- v. 11. Rectangular distribution to sequential estimation -- v. 12. Sequential estimation of the mean in finite populations to Steiner's most frequent value -- v. 13. Stein's method to Tobit Model, Burr -- v. 14. Toeplitz Lemma to V[subscript N]-Test -- v. 15. Wagr Test to Zyskind-Martin models -- v. 16. Cumulative index, volumes 1-15.

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Statistics is the accepted body of methods for summarizing or describing data and drawing conclusions from the summary measures. Everyone who has data to summarize thus needs some knowledge of statistics. The first step in gaining that knowledge is to master the professional jargon. This dictionary is geared to offer more than the usual string of isolated and independent definitions: it provides also the context, applications, and related terminology. The intended audience falls into five groups with rather different needs: (1) professional statisticians who need to recall a definition, (2) scientists in disciplines other than statistics who need to know the acceptable methods of summarizing data, (3) students of statistics who need to broaden their knowl edge of their subject matter and make constant reference to it, (4) managers who will be reading statistical reports written by their employees, and (5) journalists who need to interpret government or scientific reports and transmit the information to the public."

"The goal of this book is multidimensional: a) to help reviving Statistics education in many parts in the world where it is in crisis. For the first time authors from many developing countries have an opportunity to write together with the most prominent world authorities. The editor has spent several years searching for the most reputable statisticians all over the world. International contributors are either presidents of the local statistical societies, or head of the Statistics department at the main university, or the most distinguished statisticians in their countries. b) to enable any non-statistician to obtain quick and yet comprehensive and highly understandable view on certain statistical term, method or application c) to enable all the researchers, managers and practicioners to refresh their knowledge in Statistics, especially in certain controversial fields. d) to revive interest in statistics among students, since they will see its usefulness and relevance in almost all branches of Science."