Introductory Statistical Inference

Informationen zum Autor Mukhopadhyay, Nitis Klappentext Introductory Statistical Inference develops the concepts and intricacies of statistical inference. With a review of probability concepts, this book discusses topics such as sufficiency, ancillarity, point estimation, minimum variance estimation, confidence intervals, multiple comparisons, and large-sample inference. It introduces techniques of two-stage sampling, fitting a straight line to data, tests of hypotheses, nonparametric methods, and the bootstrap method. It also features worked examples of statistical principles as well as exercises with hints. This text is suited for courses in probability and statistical inference at the upper-level undergraduate and graduate levels. Zusammenfassung Develops the concepts and intricacies of statistical inference. This book discusses topics such as sufficiency, ancillarity, point estimation, minimum variance estimation, confidence intervals, multiple comparisons, and large-sample inference. It introduces techniques of two-stage sampling, fitting a straight line to data, and tests of hypotheses. Inhaltsverzeichnis Review of Probability and Related Concepts. Sufficiency, Completeness, and Ancillarity. Point Estimation. Tests of Hypotheses. Confidence Interval Estimation. Bayesian Methods. Likelihood Ratio and Other Tests. Large-Sample Inference. Sample Size Determination: Two-Stage Procedures. Regression Analysis: Fitting a Straight Line. Nonparametric Methods. Bootstrap Methods. Appendix. References.

Product details

• Authors: Nitis Mukhopadhya, Mukhopadhyay Mukhopadhyay, Nitis Mukhopadhyay, Nitis (University of Connecticut Mukhopadhyay
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 07.02.2006
• EAN: 9781574446135
• ISBN: 978-1-57444-613-5
• No. of pages: 304
• Series: Statistics: A Series of Textbooks and Monographs; Statistics: A Series of Textbooks and Monographs
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics