Advanced Sampling Theory With Applications ─ How Michael Selected Amy

Singh (statistics, St. Cloud State University) explains basic and advanced sampling techniques along with their applications in diverse fields of science and technology in this two-volume set. Useful as a text by students, a reference manual by researchers, and a practical guide by statisticians, the book incorporates some 1,165 references from different research journals through almost 1,900 citations across 1,194 pages in two volumes, and includes 324 unsolved exercises as well as 159 solved, data-based, real-life numerical examples in disciplines such as agriculture, demography, social science, and medicine. These solved examples will be useful for an understanding of the applications of advanced sampling theory in daily life and areas of science. Examples also explain the background of well-known scientific computer packages such as CALMAR, GES, SAS, STATA, and SUDAAN. An additional 173 unsolved practical problems are given at the ends of chapters, offering students exposure to several complete research papers. There is no subject index. Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)