Confidence Intervals

Author: Michael Smithson
Publisher: SAGE
ISBN: 9780761924999
Size: 58.17 MB
Format: PDF, ePub, Docs
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Confidence Intervals. Using lots of easy to understand examples from different disciplines, the author introduces the basis of the confidence interval framework and provides the criteria for `best' confidence intervals, along with the trade-offs between confidence and precision. The book covers such pertinent topics as: the transformation principle whereby a confidence interval for a parameter may be used to construct an interval for any monotonic transformation of that parameter; confidence intervals on distributions whose shape changes with the value of the parameter being estimated; and, the relationship between confidence interval and significance testing frameworks, particularly regarding power.

Confidence Intervals In Excel The Excel Statistical Master

Author: Mark Harmon
Publisher: Mark Harmon
ISBN: 0983307016
Size: 17.69 MB
Format: PDF, ePub, Mobi
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Confidence Intervals In Excel The Excel Statistical Master. Complete step-by-step e-manual showing exactly how and when to create confidence intervals in Excel. This e-manual will make you an expert on doing both types of confidence intervals (intervals of mean and intervals of proportion) and how to set them up in Excel. This e-manual is loaded with completed problems and screenshots in Excel of nearly all major variations of confidence intervals. The instructions are clear and easy-to-follow but at the graduate level. If you are currently taking a difficult graduate-level statistics course that covers confidence intervals, you will find this e-manual to be an outstanding course supplement that will explain confidence intervals much more clearly than your textbook does. If you are a business manager, you will really appreciate how easily and clearly this e-manual will show you how you can create confidence intervals in Excel to solve difficult statistical problems on your job. This e-manual will make you an Excel Statistical Master of the confidence interval.

Confidence Intervals On Variance Components

Author: Burdick
Publisher: CRC Press
ISBN: 9780824786441
Size: 74.41 MB
Format: PDF
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Confidence Intervals On Variance Components. Summarizes information scattered in the technical literature on a subject too new to be included in most textbooks, but which is of interest to statisticians, and those who use statistics in science and education, at an advanced undergraduate or higher level. Overviews recent research on constructin

Confidence Intervals For Proportions And Related Measures Of Effect Size

Author: Robert G. Newcombe
Publisher: CRC Press
ISBN: 1439812780
Size: 39.10 MB
Format: PDF, Mobi
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Confidence Intervals For Proportions And Related Measures Of Effect Size. Confidence Intervals for Proportions and Related Measures of Effect Size illustrates the use of effect size measures and corresponding confidence intervals as more informative alternatives to the most basic and widely used significance tests. The book provides you with a deep understanding of what happens when these statistical methods are applied in situations far removed from the familiar Gaussian case. Drawing on his extensive work as a statistician and professor at Cardiff University School of Medicine, the author brings together methods for calculating confidence intervals for proportions and several other important measures, including differences, ratios, and nonparametric effect size measures generalizing Mann-Whitney and Wilcoxon tests. He also explains three important approaches to obtaining intervals for related measures. Many examples illustrate the application of the methods in the health and social sciences. Requiring little computational skills, the book offers user-friendly Excel spreadsheets for download at, enabling you to easily apply the methods to your own empirical data.

Statistics With Confidence

Author: Douglas Altman
Publisher: John Wiley & Sons
ISBN: 1118702506
Size: 24.45 MB
Format: PDF, Kindle
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Statistics With Confidence. This highly popular introduction to confidence intervals has been thoroughly updated and expanded. It includes methods for using confidence intervals, with illustrative worked examples and extensive guidelines and checklists to help the novice.

Confidence Intervals In Generalized Regression Models

Author: Esa Uusipaikka
Publisher: CRC Press
ISBN: 9781420060386
Size: 59.96 MB
Format: PDF, Mobi
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Confidence Intervals In Generalized Regression Models. A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation—the generalized regression model (GRM)—of various types of regression models. It also uses a likelihood-based approach for performing statistical inference from statistical evidence consisting of data and its statistical model. Provides a Large Collection of Models The book encompasses a number of different regression models, from very simple to more complex ones. It covers the general linear model (GLM), nonlinear regression model, generalized linear model (GLIM), logistic regression model, Poisson regression model, multinomial regression model, and Cox regression model. The author also explains methods of constructing confidence regions, profile likelihood-based confidence intervals, and likelihood ratio tests. Uses Statistical Inference Package to Make Inferences on Real-Valued Parameter Functions Offering software that helps with statistical analyses, this book focuses on producing statistical inferences for data modeled by GRMs. It contains numerical and graphical results while providing the code online.

Sequential Analysis

Author: David Siegmund
Publisher: Springer Science & Business Media
ISBN: 1475718624
Size: 65.68 MB
Format: PDF, ePub, Mobi
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Sequential Analysis. The modern theory of Sequential Analysis came into existence simultaneously in the United States and Great Britain in response to demands for more efficient sampling inspection procedures during World War II. The develop ments were admirably summarized by their principal architect, A. Wald, in his book Sequential Analysis (1947). In spite of the extraordinary accomplishments of this period, there remained some dissatisfaction with the sequential probability ratio test and Wald's analysis of it. (i) The open-ended continuation region with the concomitant possibility of taking an arbitrarily large number of observations seems intol erable in practice. (ii) Wald's elegant approximations based on "neglecting the excess" of the log likelihood ratio over the stopping boundaries are not especially accurate and do not allow one to study the effect oftaking observa tions in groups rather than one at a time. (iii) The beautiful optimality property of the sequential probability ratio test applies only to the artificial problem of testing a simple hypothesis against a simple alternative. In response to these issues and to new motivation from the direction of controlled clinical trials numerous modifications of the sequential probability ratio test were proposed and their properties studied-often by simulation or lengthy numerical computation. (A notable exception is Anderson, 1960; see III.7.) In the past decade it has become possible to give a more complete theoretical analysis of many of the proposals and hence to understand them better.

Analysis Of Variance Via Confidence Intervals

Author: K D Bird
Publisher: SAGE
ISBN: 1847871089
Size: 78.24 MB
Format: PDF, Mobi
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Analysis Of Variance Via Confidence Intervals. Analysis of variance (ANOVA) constitutes the main set of statistical methods used by students and researchers to analyse data from experiments. This expertly written textbook adopts a pioneering approach to ANOVA with an emphasis on confidence intervals rather than tests of significance. Key features of the book include: · Extensive coverage · Strong emphasis upon practical examples · Web-based links to sample questions and answers Student-focused throughout, it offers a comprehensive introduction to ANOVA using confidence intervals. The chapters have been organized to fit onto a typical lecture programme and is well-structured and practical, invaluable for undergraduates and postgraduate students taking courses in quantitative methods across the social sciences.