This book covers those basic topics which usually form the core of intermediate courses in statistical theory; it is largely about estima tion and hypothesis testing. It is intended for undergraduates following courses in statistics but is also suitable preparatory read ing for some postgraduate courses. It is assumed that the reader has completed an introductory course which covered probability, random variables, moments and the sampling distributions. The level of mathematics required does not go beyond first year calculus. In case the reader has not acquired much facility in handling matrices, the results in least squares estimation are first obtained directly and then given an (optional) matrix formulation. If techniques for changing from one set of variables to another have not been met, then the appendix on these topics should be studied first. The same appendix contains essential discussion of the order statistics which are frequently used for illustrative purposes. Introductory courses usually include the elements of hypothesis testing and of point and interval estimation though the treatment must perforce become rather thin since at that stage it is difficult to provide adequate justifications for some procedures-plausible though they may seem. This text discusses these important topics in considerable detail, starting from scratch. The level is nowhere advanced and proofs of asymptotic results are omitted. Methods deriving from the Bayesian point of view are gradually introduced and alternate with the more usual techniques.

Intermediate Mathematical Statistics

Beaumont, G.P.

Reference

Springer

This undergraduate text distils the wisdom of an experienced teacher and yields, to the mutual advantage of students and their instructors, a sound and stimulating introduction to probability theory. The accent is on its essential role in statistical theory and practice, built on the use of illustrative examples and the solution of problems from typical examination papers. Mathematically-friendly for first and second year undergraduate students, the book is also a reference source for workers in a wide range of disciplines who are aware that even the simpler aspects of probability theory are not simple.Provides a sound and stimulating introduction to probability theoryPlaces emphasis on the role of probability theory in statistical theory and practice, built on the use of illustrative examples and the solution of problems from typical examination papers

Probability and Random Variables (Ellis Horwood Series in Applied Science and Industrial Techn)

Science & Math

Mathematics

Ellis Horwood, Ltd.

"Enterprise Excellence" refers to drawing upon a variety of tools beyond Six Sigma to improve a business. Taking a holistic view of product and process improvement, here is a step-by-step guide to deploying Enterprise Excellence in an organization and integrating the methodologies and tools for business process improvement. This innovative approach covers all aspects of EE and provides practical applications appropriate for multiple levels within an organization. Its lessons apply to a broad range of readers, from graduate students in engineering to entrepreneurs in small businesses, from management to workshops and seminars to front line supervisors.

Introductory Applied Probability (Ellis Horwood Series in Mathematics and Its Applications)

Beaumont Probability and Random Variables

Prentice Hall Europe (a Pearson Education company)

<p>This undergraduate text distils the wisdom of an experienced teacher and yields, to the mutual advantage of students and their instructors, a sound and stimulating introduction to probability theory. The accent is on its essential role in statistical theory and practice, built on the use of illustrative examples and the solution of problems from typical examination papers. Mathematically-friendly for first and second year undergraduate students, the book is also a reference source for workers in a wide range of disciplines who are aware that even the simpler aspects of probability theory are not simple.</p>
<ul>
<li>Provides a sound and stimulating introduction to probability theory</li>
<li>Places emphasis on the role of probability theory in statistical theory and practice, built on the use of illustrative examples and the solution of problems from typical examination papers</li>
</ul>

Probability and Random Variables (Mathematics, Statistics, and Operational Research)

Woodhead Publishing