Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Probability and Statistical Inference: Volume 2: Statistical Inference

Probability and Statistical Inference: Volume 2: Statistical Inference

Kalbfleisch, J. G.

Hardcover

Series: Springer Texts in Statistics

Probability & Statistics

ISBN10: 0387961836
ISBN13: 9780387961835
Publisher: Springer Nature
Published: Oct 14 1985
Pages: 360
Weight: 1.56
Height: 0.88 Width: 6.14 Depth: 9.21
Language: English
This book is in two volumes, and is intended as a text for introductory courses in probability and statistics at the second or third year university level. It em- phasizes applications and logical principles rather than mathematical theory. A good background in freshman calculus is sufficient for most of the material presented. Several starred sections have been included as supplementary material. Nearly 900 problems and exercises of varying difficulty are given, and Appendix A contains answers to about one-third of them. The first volume (Chapters 1-8) deals with probability models and with math- ematical methods for describing and manipulating them. It is similar in content and organization to the 1979 edition. Some sections have been rewritten and expanded-for example, the discussions of independent random variables and conditional probability. Many new exercises have been added. In the second volume (Chapters 9-16), probability models are used as the basis for the analysis and interpretation of data. This material has been revised extensively. Chapters 9 and 10 describe the use of the likelihood function in estimation problems, as in the 1979 edition. Chapter 11 then discusses frequency properties of estimation procedures, and introduces coverage probability and confidence intervals. Chapter 12 describes tests of significance, with applications primarily to frequency data. The likelihood ratio statistic is used to unify the material on testing, and connect it with earlier material on estimation.

3 different editions

Also available

Also in

Probability & Statistics

View All