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Statistical methods: the geometric approach

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Bibliografiske detaljer
Hovedforfatter:	Saville, David J.
Andre forfattere:	Wood, Graham R.
Format:	Printed Book
Sprog:	English
Udgivet:	New York Springer-Verlag 1991
Serier:	Springer texts in statistics
Fag:	Analysis of variance Regression analysis

Lignende værker

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Social Statistics
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Applied statistics : analysis of variance and regression.-3rd ed./
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Handbook of statistical analysis using SAS
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Regression, anova and general linear model: A statistics primer
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General Statistics
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Quantitative methods in marketing
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Regression, ANOVA, and the general linear model a statistics primer
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Methods of Statistical Analysis
af: Cyril, H
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Analysis and design of experiments: analysis of variance and analysis of variance
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Analysis of variance for random models : theory, methods, applications, and data analysis /
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Analysis of covariance and alternatives statistical methods for experiments, quasi-experiments, and single-case studies,
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Analysis of varience for random models.Vol.II:unbalanced data theory, methods, applications and data analysis
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Analysis of variance for random models.Vol.1:Balanced data: theory,methods,applications and data analysis
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Design and analysis of experiments: classical and regression approaches with SAS
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The analysis of variance: fixed, random and mixed models
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Modelling binary data
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Analysis of variance
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Analysis of variance for functional data
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The analysis of variance
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SPSS for Psychologists: A Guide to Data Analysis using SPSS for Windows
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Analysis of covariance /
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Research Methodology
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Statistical methods
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Statistical concepts in geography
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Statistical forecasting
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Applied statistics
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Glimpses of Indias statistical heritage
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Statistical analysis: a computer oriented approach
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SAS for data analysis: Intermediate statistical methods with 100 SAS programs
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Statistical data analysis: A practical guide
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Statistical Analysis in Educational Research
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Basic statistics a modern approach
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Applied statistics: analysis of variance and regression
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Statistical Methods for Research Workers
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The Dependability of behavioral measurements: theory of generalizability for scores and profiles
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