Nitis Mukhopadhyay

Introductory Statistical Inference

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 304
• Erscheinungstermin: 7. Februar 2006
• Englisch
• Abmessung: 240mm x 157mm x 21mm
• Gewicht: 549g
• ISBN-13: 9781574446135
• ISBN-10: 1574446134
• Artikelnr.: 21881211

Autorenporträt

Mukhopadhyay, Nitis

Inhaltsangabe

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.