|LC Classifications||QA276 .W4 1961|
|The Physical Object|
|Number of Pages||277|
|LC Control Number||61019163|
A First Course In Mathematical Statistics by C.E. Weatherburn. Publisher: Cambridge University Press ISBN/ASIN: Number of pages: Description: This book provides the mathematical foundations of statistics. This book is pretty comprehensive for being a brief introductory book. This book covers all necessary content areas for an introduction to Statistics course for non-math majors. The text book provides an effective index, plenty of exercises, review questions, and practice tests. It provides references and case studies/5(9). This textbook provides a coherent introduction to the main concepts and methods of one-parameter statistical inference. Intended for students of Mathematics taking their first course in Statistics, the focus is on Statistics for Mathematicians rather than on Mathematical Statistics. The book for a course in multivariate statistics for first year graduate or advanced undergraduates. It is neither a mathematical treatise nor a cookbook. Instead of complicated mathematical proofs the author wrote about mathematical ideas. ( views) Introductory Statistics: Concepts, Models, and Applications.
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6.—A First Course in Mathematical Statistics. By C. E. Weatherburn. Cambridge University Press, xv + pp. 15s. (Arup Bose, Sankhya: The Indian Journal of Statistics, Vol. 65 (3), ) "This book is intended for an advanced postgraduate course in Mathematical Statistics, offered in a mathematically rigorous fashion. in order to get to grips with rigorous mathematical statistics, this is an ideal book. Also, as a reference book, it is ideally suited. . A First Course in Mathematical Statistics book. Read reviews from world’s largest community for readers.5/5(2). Statistics for Business and Economics. An Introduction to Matlab. A Refresher Course in Mathematics. Mathematics Fundamentals. Elementary Algebra and Calculus. Matrix Algebra for Engineers. Inferential Statistics. Introduction to Probability. Mathematical Models in Portfolio Analysis. Fluid Mechanics and the Theory of Flight. Descriptive.