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Systematic Glossary of the Terminology of Statistical Methods
This is the new-in-paperback edition of The Oxford Dictionary of Statistical Terms, the much-awaited sixth edition of the acclaimed standard reference work in statistics, published on behalf of the International Statistical Institute. The first edition, known as the Dictionary of Statistical Terms, was edited in 1957 by the late Sir Maurice Kendall and the late Dr W.R. Buckland. As one of the first dictionaries of statistics it set high standards for the subject, and became a well-respected reference. This edition has been carefully updated and extended to include the most recent terminology and techniques in statistics. Significant revision and expansion from an international editorial board of senior statisticians has resulted in a comprehenisive reference text which includes 30% more material than previous editions. Ideal for all who use statistics in the workplace and in research including all scientists and social scientists, especially in law, politics, finance, business, and history, it is an indispensable reference.
The OECD Glossary contains a comprehensive set of over 6 700 definitions of key terminology, concepts and commonly used acronyms derived from existing international statistical guidelines and recommendations.
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 fourth edition (1982) is endorsed by BCL3. Written on behalf of the International Statistical Institute, the work reflects the importance of medical statistics and statistical computing, covers new techniques that have arisen through clinical trials, survival analysis and cancer studies, and includes 400 new entries and many new vocabulary terms. We wonder at the specialist lexicographers' common ignoring of pronunciation. Printed cheaply (and well) in Singapore on acidic paper. Annotation copyrighted by Book News, Inc., Portland, OR
This outline of statistics as an aid in decision making will introduce a reader with limited mathematical background to the most important modern statistical methods. This is a revised and enlarged version, with major extensions and additions, of my "Angewandte Statistik" (5th ed.), which has proved useful for research workers and for consulting statisticians. Applied statistics is at the same time a collection of applicable statistical methods and the application of these methods to measured and/or counted observations. Abstract mathematical concepts and derivations are avoided. Special emphasis is placed on the basic principles of statistical formulation, and on the explanation of the conditions under which a certain formula or a certain test is valid. Preference is given to consideration of the analysis of small sized samples and of distribution-free methods. As a text and reference this book is written for non-mathematicians, in particular for technicians, engineers, executives, students, physicians as well as researchers in other disciplines. It gives any mathematician interested in the practical uses of statistics a general account of the subject. Practical application is the main theme; thus an essential part of the book consists in the 440 fully worked-out numerical examples, some of which are very simple; the 57 exercises with solutions; a number of different compu tational aids; and an extensive bibliography and a very detailed index. In particular, a collection of 232 mathematical and mathematical-statistical tables serves to enable and to simplify the computations.
Over 1,000 clear, concise definitions of statistical terms, with explanations. Also, formulas covering grouped and ungrouped data, finite populations, probability, other topics.