Statistical Intervals: A Guide for Practitioners

(Series: Wiley Series in Probability and Mathematical Statistics - Applied Probability and Statistics Section)

Description

Presents a detailed exposition of statistical intervals and emphasizes applications in industry. The discussion differentiates at an elementary level among different kinds of statistical intervals and gives instruction with numerous examples and simple math on how to construct such intervals from sample data. This includes confidence intervals to contain a population percentile, confidence intervals on probability of meeting specified threshold value, and prediction intervals to include observation in a future sample.

Contents

Introduction, Basic Concepts, and Assumptions.
Overview of Different Types of Statistical Intervals.
Constructing Statistical Intervals Assuming a Normal Distribution Using Simple Tabulations.
Methods for Calculating Statistical Intervals for a Normal Distribution.
Distribution-Free Statistical Intervals.
Statistical Intervals for Proportions and Percentages (Binomial Distribution).
Statistical Intervals for the Number of Occurrences (Poisson Distribution).
Sample Size Requirements for Confidence Intervals on Population Parameters.
Sample Size Requirements for Tolerance Intervals, Tolerance Bounds, and Demonstration Tests.
Sample Size Requirements for Prediction Intervals.
A Review of Other Statistical Intervals.
Other Methods for Setting Statistical Intervals.
Case Studies.
Epilogue.
Appendices.
References.
Author Index.
Subject Index.

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Software for Statistics Intervals.

Click here for information on StInt. StInt is a simple command-driven Dos program that can be used to compute most of the statistical intervals in Hahn and Meeker (1991). This program was developed and used for the purpose of doing the examples in Hahn and Meeker. Included in the distribution is a user's manual and an input file showing how to replicate almost all of the analyses in Hahn and Meeker.

Click here to go to W.Q. Meeker's homepage.