β Scribed by E. S. Keeping
No coin nor oath required. For personal study only.
This excellent text emphasizes the inferential and decision-making aspects of statistics. The first chapter is mainly concerned with the elements of the calculus of probability. The second chapter contains the essential statistical techniques of summarizing the data in a sample prior to making inferences about the population. Additional chapters cover the general properties of distributions, testing hypotheses, and more.
π SIMILAR VOLUMES
<DIV><DIV>Excellent text emphasizes inferential and decision-making statistics. Discusses calculus of probability, sampling procedures, bivariate problems, much more. Problems. Answers.</DIV></DIV>
<p>This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probabi
<p><span>The complexity of large-scale data sets (βBig Dataβ) has stimulated the development of advanced <br>computational methods for analysing them. There are two different kinds of methods to aid this. The <br>model-based method uses probability models and likelihood and Bayesian theory, while th