E. Huggins:Mastering Pascal Programming
- Taschenbuch 1991, ISBN: 9780333322949
Radius Press. Very Good. 6.25 x 0.75 x 9.25 inches. Paperback. 1991. 303 pages. <br>This classic multivariate statistics book has beco me the introduction of choice for researchers … Mehr…
Radius Press. Very Good. 6.25 x 0.75 x 9.25 inches. Paperback. 1991. 303 pages. <br>This classic multivariate statistics book has beco me the introduction of choice for researchers and students with a minimal mathematics background. In addition to providing a revie w of fundamental statistical methods, it provides a basic treatme nt of advanced computer-based multivariate analytical techniques; including correlation and regression analysis, analysis of varia nce, discriminant analysis, factor analysis, cluster analysis, an d multidimensional scaling. The conceptual treatment emphasizes t he rationales, applications, and interpretations, rather than the theoretical mathematical aspects of the most commonly used data analysis techniques in use today, closing the gap between spirali ng technology and its intelligent application, providing students and researchers with a decided advantage in their future studies and careers. Its conceptual non-mathematical approach is espec ially helpful to students, researchers, and managers in the socia l and health sciences, education, and business. It is also the id eal springboard for those who will pursue advanced study of these powerful multivariate techniques. Editorial Reviews About the Author Sam Kash Kachigan is the author of several innovative book s in mathematics and psychology, including Multivariate Statistic al Analysis, Statistical Analysis, The Sexual Matrix, The Game, a nd Over 100 Traits of Truly Horrible People. His books have been used in graduate programs at over 300 leading universities, in ov er a dozen different academic disciplines. He is also a prolific photographer and experimental filmmaker. As such, he is one of ve ry few individuals to have made significant contributions to both the arts and sciences. He was born in Wisconsin of immigrant Arm enian parents, and received his inter-disciplinary education at t he University of Wisconsin, The University of Washington, and Col umbia University. Excerpt. ® Reprinted by permission. All rights reserved. Preface to the First Edition This book is intended a s an introduction to multivariate statistical analysis for indivi duals with a minimal mathematics background. The presentation i s conceptual in nature with emphasis on the rationales, applicati ons, and interpretations of the most commonly used multivariate t echniques, rather than on their mathematical, computational, and theoretical aspects. As such, the book is intended primarily not for the I reader in 100 who will go on to specialize in statistic al analysis, but for the other 99 who will only obtain an overvie w of the subject, yet will have to deal in their professional liv es with the design, analysis, and interpretation of research by i nterfacing with specialists in the field. Although a prior cour se in elementary statistics would be beneficial, it is not absolu tely essential, since the fundamentals are thoroughly reviewed in the first two chapters. Consequently, the book can be used eithe r as an introductory or intermediate level text, and will also fi nd use as a reference volume for those already in the professiona l community. Since the principles of statistical analysis are p erfectly general, cutting across all academic disciplines, studen ts in all curriculums can use the text. This is especially true s ince much of the book is devoted to the discussion of concepts an d principles rather than to specific examples. The illustrations that are used are drawn from three major areas-monetary disciplin es, including business, economics, and government; behavioral dis ciplines, including education, psychology, sociology, anthropolog y, political science, and communications; and organic disciplines , including biology, medicine, and agriculture. Students of the p hysical sciences and engineering are advised to take a mathematic al statistics course where they can capitalize on their backgroun ds in calculus and matrix algebra, although such students can als o benefit from the present approach. I am grateful to the Liter ary Executor of the late Sir Ronald A. Fisher, F.R.S., to Dr. Fra nk Yates, F.R.S. and to Longman Group Ltd. .London, for permissio n to use Tables II, III, and IV from their book Statistical Table s for Biological, Agricultural and Medical Research (6th edition, 1974). I am also thankful to the dozens of individuals who made helpful comments at various stages of the manuscript. While many of the suggestions were heeded, I accept responsibility for any s hortcomings that remain. S.K.K. New York, New York October, 198 1 Preface to the Second Edition Aside from some minor textual changes, the main difference of this book from the initial 1982 edition is the addition of a chapter on Multidimensional Scaling. This chapter is taken from my 1986 textbook Statistical Analysis : An Interdisciplinary Introduction to Univariate and Multivariat e Methods, which is a more full-scale text, containing all the ma terial in this edition plus a more thorough coverage of univariat e, experimental design, multiple comparisons, time series, and pr obability topics, as well as providing student exercises. Anoth er new feature of this edition is its availability as an economic al paperback. For many instructors the 1986 Statistical Analysis text - which is twice the length of this book - is too comprehens ive for their particular curriculum needs, despite their desire t o cover multivariate methods in an introductory manner. Consequen tly, this paperback edition will afford instructors greater flexi bility in the design of their courses. Not only will this editi on serve as a basic introductory course in multivariate methods f or the many students who do not have extensive mathematical backg rounds, but it will also complement those multivariate texts whic h are often too technical to fully benefit all the students enrol led in such courses. Moreover, the conceptual approach of this book should prove to be a valuable guide for both graduate and un dergraduate introductory courses, providing an integrated overvie w of the most useful analytical techniques that students are boun d to encounter in their future studies and research activities. S.K.K. New York, New York April, 1991 </div ., Radius Press, 1991, 3, Great Britain: The Macmillan Press, 1983. Paperback. Pascal is one of the newer programming languages, and is becoming more and more widely used in all sorts of applications. it is a language designed to work efficiently with today's computers, and is replaing many of the older, less efficient languages. A complete, self-contained course for indivcidual study or classroom use. In one book, a complete course in Pascal - suitable for all syllabuses and professional qualifications where practical knowledge of a computer language is required. The treatment is non-mathmatical and is suitable for anyone who is studying Pascal for the first time. Written by an eningeer and manager - Eric Huggins has worked in industry for 20 years, and has considerable experience of suing computers, and of teaching and guidng computer users and programmers. 269 pp. (We carry a wide selection of titles in The Arts, Theology, History, Politics, Social and Physical Sciences. academic and scholarly books and Modern First Editions ,and all types of Academic Literature.). 1st Paperback Edition. Soft Cover. Very Good. 8vo - over 7¾" - 9¾" tall. Paperback., The Macmillan Press, 1983, 3<