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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;
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Advanced Linear Models
model, the analysis of variance model, the analysis of covariance model, and the variance components model.;
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Statistics in Plain English
' Theorem and statistical independence, probability distributions, confidence intervals, and analysis of variance.;
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Design and Analysis of Gauge R&R Studies
summary of methods used to construct confidence intervals in normal-based random and mixed analysis of variance (ANOVA) models, this comprehensive;
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Statistics Unplugged
This introductory statistics textbook covers the basics of the subject, with chapters on the descrip;...
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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 ;...
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Statistical Analysis of Geographical Data
Statistics Analysis of Geographical Data: An Introduction provides a comprehensive and accessible introduction to the theory and practice;
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Statistical Analysis of Geographical Data
Statistics Analysis of Geographical Data: An Introduction provides a comprehensive and accessible introduction to the theory and practice;
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Linear Model Theory
This book contains 296 exercises and solutions covering a wide variety of topics in linear model the;...
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Linear Model Theory
This book contains 296 exercises and solutions covering a wide variety of topics in linear model the;...
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Effect Sizes For Research
material, highlights of the new editon include: three new multivariate chapters covering effect sizes for analysis of covariance, multiple;
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Effect Sizes for Research
material, highlights of the new editon include: three new multivariate chapters covering effect sizes for analysis of covariance, multiple;
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The Signed Distance Measure in Fuzzy Statistical Analysis
levels; the other is an extension of the multi-ways analysis of variance to the space of fuzzy sets. To illustrate these approaches, the book;
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Statistical Methods For Six Sigma
depth necessary to make successful applications. Statistical methods in this book include: variance components analysis, variance transmission;
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Data Science Tools
application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using;
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Statistics with Confidence
This highly popular introduction to confidence intervals has been thoroughly updated and expanded. I;...
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Statistics with Confidence 1st Edn
This highly popular introduction to confidence intervals has been thoroughly updated and expanded. I;...
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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 effe;...
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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 effe;...
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JMP Means Business
covers data collection, descriptive statistics, distributions, confidence intervals and hypothesis tests, analysis of variance, contingency;
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Essentials of Inferential Statistics
This fifth edition of a classic text is appropriate for a one semester general course in Applied Sta;...
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Mathematical Statistics
Presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and ;...
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Labour Supply and Microsimulation The Evaluation of Tax Policy Reforms
measurement, income distribution, confidence intervals around the simulated results and feedback effects on the wage distribution via labour demand;
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Art Of Data Analysis
A friendly and accessible approach to applying statistics in the real world With an emphasis on critical thinking, The Art of Data Analysis;
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Bootstrap Methods and their Application
Bootstrap methods are computer-intensive methods of statistical analysis, which use simulation to calculate standard errors, confidence;
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