<p><P>We live in the information age. Statistical surveys are used every day to determine or evaluate public policy and to make important business decisions. Correct methods for computing the precision of the survey data and for making inferences to the target population are absolutely essential to
Introduction to Variance Estimation
โ Scribed by Kirk M. Wolter
- Publisher
- Springer
- Year
- 2005
- Tongue
- English
- Leaves
- 461
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
We live in the information age. Statistical surveys are used every day to determine or evaluate public policy and to make important business decisions. Correct methods for computing the precision of the survey data and for making inferences to the target population are absolutely essential to sound
<p>This book, developed from a set of lecture notes by Professor Kamen, and since expanded and refined by both authors, is an introductory yet comprehensive study of its field. It contains examples that use MATLAB<SUP>ยฎ</SUP> and many of the problems discussed require the use of MATLAB<SUP>ยฎ</SUP>.
<p><P>Methods of nonparametric estimation are located at the core of modern statistical science. The aim of this book is to give a short but mathematically self-contained introduction to the theory of nonparametric estimation. The emphasis is on the construction of optimal estimators; therefore the
Now available in paperback, this book is organized in a way that emphasizes both the theory and applications of the various variance estimating techniques. Results are often presented in the form of theorems; proofs are deleted when trivial or when a reference is readily available. It applies to lar