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Applied regression analysis : doing, interpreting and reporting regression / / Christer Thrane
Applied regression analysis : doing, interpreting and reporting regression / / Christer Thrane
Autore Thrane Christer
Pubbl/distr/stampa Abingdon, Oxon ; ; New York, NY : , : Routledge, , 2020
Descrizione fisica 1 online resource (203 pages)
Disciplina 519.536
Soggetto topico Regression analysis
ISBN 0-429-81302-3
0-429-44375-7
0-429-81303-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910817698003321
Thrane Christer  
Abingdon, Oxon ; ; New York, NY : , : Routledge, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applied regression analysis and experimental design / Richard J. Brook, Gregory C. Arnold
Applied regression analysis and experimental design / Richard J. Brook, Gregory C. Arnold
Autore Brook, Richard J.
Pubbl/distr/stampa New York ; Basel : Dekker, c1985
Descrizione fisica vii, 237 p. ; 24 cm.
Disciplina 519.536
Altri autori (Persone) Arnold, Gregory C.
Collana Statistics, textbooks and monographs ; 62
Soggetto topico Analisi della regressione
Statistica - Metodi matematici
ISBN 0824772520
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000395419707536
Brook, Richard J.  
New York ; Basel : Dekker, c1985
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Applied regression and ANOVA using SAS / / Patricia F. Moodie, Dallas E. Johnson
Applied regression and ANOVA using SAS / / Patricia F. Moodie, Dallas E. Johnson
Autore Moodie Patricia
Pubbl/distr/stampa Boca Raton, Florida : , : CRC Press, , [2021]
Descrizione fisica 1 online resource (428 pages)
Disciplina 519.536
Soggetto topico Regression analysis
SAS (Computer program language)
ISBN 1-4398-6952-9
0-429-10736-6
0-429-52703-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Review of some basic statistical ideas -- Introduction to simple linear regression -- Model checking in simple linear regression -- Interpreting a simple linear regression analysis -- Introduction to multiple linear regression -- Before interpreting a multiple linear regression analysis -- Interpreting an additive multiple linear regression model -- Modelling a two-way interaction between continuous predictors in multiple linear regression -- Evaluating a two-way interaction between a qualitative and a continuous predictor in multiple linear regression -- Subset selection of predictor variables in multiple linear regression -- Evaluating equality of group means with a one-way analysis of variance -- Multiple testing and simultaneous confidence intervals -- Analysis of covariance : adjusting group means for nuisance variables using regression -- Alternative approaches if ideal inference conditions are not satisfied
Record Nr. UNINA-9910795719403321
Moodie Patricia  
Boca Raton, Florida : , : CRC Press, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied regression and ANOVA using SAS / / Patricia F. Moodie, Dallas E. Johnson
Applied regression and ANOVA using SAS / / Patricia F. Moodie, Dallas E. Johnson
Autore Moodie Patricia
Pubbl/distr/stampa Boca Raton, Florida : , : CRC Press, , [2021]
Descrizione fisica 1 online resource (428 pages)
Disciplina 519.536
Soggetto topico Regression analysis
SAS (Computer program language)
ISBN 1-4398-6952-9
0-429-10736-6
0-429-52703-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Review of some basic statistical ideas -- Introduction to simple linear regression -- Model checking in simple linear regression -- Interpreting a simple linear regression analysis -- Introduction to multiple linear regression -- Before interpreting a multiple linear regression analysis -- Interpreting an additive multiple linear regression model -- Modelling a two-way interaction between continuous predictors in multiple linear regression -- Evaluating a two-way interaction between a qualitative and a continuous predictor in multiple linear regression -- Subset selection of predictor variables in multiple linear regression -- Evaluating equality of group means with a one-way analysis of variance -- Multiple testing and simultaneous confidence intervals -- Analysis of covariance : adjusting group means for nuisance variables using regression -- Alternative approaches if ideal inference conditions are not satisfied
Record Nr. UNINA-9910821784203321
Moodie Patricia  
Boca Raton, Florida : , : CRC Press, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied regression and modeling : a computer integrated approach / / Amar Sahay
Applied regression and modeling : a computer integrated approach / / Amar Sahay
Autore Sahay Amar
Edizione [First edition.]
Pubbl/distr/stampa New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016
Descrizione fisica 1 online resource (xi, 195 pages)
Disciplina 519.536
Collana Quantitative approaches to decision making collection
Soggetto topico Regression analysis - Data processing
Soggetto genere / forma Electronic books.
Soggetto non controllato coefficient of correlation
correlation
dependent variable
dummy variable
independent variable
interaction model
least squares estimates
least squares prediction equation
linear regression
multiple coefficient of determination
multiple regression and modeling
nonlinear models
regression line
residual analysis
scatterplot
second-order model
stepwise regression
ISBN 1-63157-330-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction to regression and correlation analysis -- 2. Regression, covariance, and coefficient of correlation -- 3. Illustration of least squares regression method -- 4. Regression analysis using a computer -- 5. Multiple regression: computer analysis -- 6. Model building and computer analysis -- 7. Models with qualitative independent (dummy) variables, interaction models, all subset and stepwise regression models with computer analysis -- 8. Notes on implementation of regression models -- Bibliography -- Index.
Record Nr. UNINA-9910465298803321
Sahay Amar  
New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied regression and modeling : a computer integrated approach / / Amar Sahay
Applied regression and modeling : a computer integrated approach / / Amar Sahay
Autore Sahay Amar
Edizione [First edition.]
Pubbl/distr/stampa New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016
Descrizione fisica 1 online resource (xi, 195 pages)
Disciplina 519.536
Collana Quantitative approaches to decision making collection
Soggetto topico Regression analysis - Data processing
Soggetto non controllato coefficient of correlation
correlation
dependent variable
dummy variable
independent variable
interaction model
least squares estimates
least squares prediction equation
linear regression
multiple coefficient of determination
multiple regression and modeling
nonlinear models
regression line
residual analysis
scatterplot
second-order model
stepwise regression
ISBN 1-63157-330-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction to regression and correlation analysis -- 2. Regression, covariance, and coefficient of correlation -- 3. Illustration of least squares regression method -- 4. Regression analysis using a computer -- 5. Multiple regression: computer analysis -- 6. Model building and computer analysis -- 7. Models with qualitative independent (dummy) variables, interaction models, all subset and stepwise regression models with computer analysis -- 8. Notes on implementation of regression models -- Bibliography -- Index.
Record Nr. UNINA-9910798463403321
Sahay Amar  
New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied regression and modeling : a computer integrated approach / / Amar Sahay
Applied regression and modeling : a computer integrated approach / / Amar Sahay
Autore Sahay Amar
Edizione [First edition.]
Pubbl/distr/stampa New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016
Descrizione fisica 1 online resource (xi, 195 pages)
Disciplina 519.536
Collana Quantitative approaches to decision making collection
Soggetto topico Regression analysis - Data processing
Soggetto non controllato coefficient of correlation
correlation
dependent variable
dummy variable
independent variable
interaction model
least squares estimates
least squares prediction equation
linear regression
multiple coefficient of determination
multiple regression and modeling
nonlinear models
regression line
residual analysis
scatterplot
second-order model
stepwise regression
ISBN 1-63157-330-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction to regression and correlation analysis -- 2. Regression, covariance, and coefficient of correlation -- 3. Illustration of least squares regression method -- 4. Regression analysis using a computer -- 5. Multiple regression: computer analysis -- 6. Model building and computer analysis -- 7. Models with qualitative independent (dummy) variables, interaction models, all subset and stepwise regression models with computer analysis -- 8. Notes on implementation of regression models -- Bibliography -- Index.
Record Nr. UNINA-9910822169603321
Sahay Amar  
New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied regression including computing and graphics / R. Dennis Cook, Sanford Weisberg
Applied regression including computing and graphics / R. Dennis Cook, Sanford Weisberg
Autore Cook, R. Dennis
Pubbl/distr/stampa New York : John Wiley & Sons, 1999
Descrizione fisica XXVI, 594 p. ; 23 cm
Disciplina 519.5
519.536
Altri autori (Persone) Weisberg, Sanford <1947- >
Collana Wiley series in probability and statistics
Soggetto non controllato Analisi della regressione
ISBN 0-471-31711-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990003738440403321
Cook, R. Dennis  
New York : John Wiley & Sons, 1999
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied regression including computing and graphics [[electronic resource] /] / R. Dennis Cook, Sanford Weisberg
Applied regression including computing and graphics [[electronic resource] /] / R. Dennis Cook, Sanford Weisberg
Autore Cook R. Dennis
Pubbl/distr/stampa New York, : Wiley, 1999
Descrizione fisica 1 online resource (632 p.)
Disciplina 519.5
519.536
Altri autori (Persone) WeisbergSanford <1947->
Collana Wiley series in probability and statistics. Texts and references section
Soggetto topico Regression analysis
Multivariate analysis
ISBN 1-282-30751-7
9786612307515
0-470-31694-2
0-470-31778-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applied Regression Including Computing and Graphics; Contents; Preface; PART I INTRODUCTION; 1 Looking Forward and Back; 1.1 Example: Haystack Data; 1.2 Example: Bluegill Data; 1.3 Loading Data into Arc; 1.4 Numerical Summaries; 1.4.1 Display Summaries; 1.4.2 Command Line; 1.4.3 Displaying Data; 1.4.4 Saving Output to a File and Printing; 1 .5 Graphical Summaries; 1.5.1Histograms; 1.5.2 Boxplots; 1.6.Bringing in the Population; 1.6. I The Density Function; 1.6.2 Normal Distribution; I .6.3 Computing Normal Quantiles; 1.6.4 Computing Normal Probabilities; 1.6.5 Boxplots of Normal Data
1.6.6 The Sampling Distribution of the Mean1.7 Inference; 1.7.1 Sample Mean; 1.7.2 Confidence Interval for the Mean; 1.7.3 Probability of a Record Bluegill; 1.8 Complements; Problems; 2 Introduction to Regression; 2.1 Using Boxplots to Study Length \ Age; 2.2 Using a Scatterplot to Study Length \ Age; 2.3 Mouse Modes; 2.3.1 Show Coordinates Mouse Mode; 2.3.2 Slicing Mode; 2.3.3 Brushing Mode; 2.4 Characterizing Length\ Age; 2.5 Mean and Variance Functions; 2.5.1 Mean Function; 2.5.2 Variance Function; 2.6 Highlights; 2.7 Complements; Problems; 3 Introduction to Smoothing
3.1 Slicing a Scatterplot3.2 Estimating E(y I x) by Slicing; 3.3 Estimating E(y Ix) by Smoothing; 3.4 Checking a Theory; 3.5 Boxplots; 3.6 Snow Geese; 3.6.1 Snow Goose Regression; 3.6.2 Mean Function; 3.6.3 Variance Function; 3.7 Complements; Problems; 4 Bivariate Distributions; 4.1 General Bivariate Distributions; 4.1.1 Bivariate Densities; 4.1.2 Connecting with Regression; 4.1.3 Independence; 4.1.4 Covariance; 4.1.5 Correlation Coefficient; 4.2 Bivariate Normal Distribution; 4.2.1 Correlation Coefficient in Normal Populations; 4.2.2 Correlation Coefficient in Non-normal Populations
4.3.Regression in Bivariate Normal Populations4.3.1 Mean Function; 4.3.2 Mean Function in Standardized Variables; 4.3.3 Mean Function as a Straight Line; 4.3.4 Variance Function; 4.4 Smoothing Bivariate Normal Data; 4.5 Complements; 4.5.1 Confidence Interval for a Correlation; 4.5.2 References; Problems; 5 Two-Dimensional Plots; 5.1 Aspect Ratio and Focusing; 5.2 Power Transformations; 5.3 Thinking about Power Transformations; 5.4 Log Transformations; 5.5 Showing Labels and Coordinates; 5.6 Linking Plots; 5.7 Point Symbols and Colors; 5.8 Brushing; 5.9 Name Lists; 5.10 Probability Plots
5.11 ComplementsProblems; PART II. TOOLS; 6 Simple Linear Regression; 6.1 Simple Linear Regression; 6.2 Least Squares Estimation; 6.2.1 Notation; 6.2.2 The Least Squares Criterion; 6.2.3 Ordinary Least Squares Estimators; 6.2.4 More on Sample Correlation; 6.2.5 Some Properties of Least Squares Estimates; 6.2.6 Estimating the Common Variance, (T*; 6.2.7 Summary; 6.3 Using Arc; 6.3.1 Interpreting the Intercept; 6.4 Inference; 6.4.1 Inferences about Parameters; 6.4.2 Estimating Population Means; 6.4.3 Prediction; 6.5 Forbes' Experiments, Revisited; 6.6 Model Comparison; 6.6.1 Models
6.6.2 Analysis of Variance
Record Nr. UNINA-9910144694803321
Cook R. Dennis  
New York, : Wiley, 1999
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied regression including computing and graphics [[electronic resource] /] / R. Dennis Cook, Sanford Weisberg
Applied regression including computing and graphics [[electronic resource] /] / R. Dennis Cook, Sanford Weisberg
Autore Cook R. Dennis
Pubbl/distr/stampa New York, : Wiley, 1999
Descrizione fisica 1 online resource (632 p.)
Disciplina 519.5
519.536
Altri autori (Persone) WeisbergSanford <1947->
Collana Wiley series in probability and statistics. Texts and references section
Soggetto topico Regression analysis
Multivariate analysis
ISBN 1-282-30751-7
9786612307515
0-470-31694-2
0-470-31778-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applied Regression Including Computing and Graphics; Contents; Preface; PART I INTRODUCTION; 1 Looking Forward and Back; 1.1 Example: Haystack Data; 1.2 Example: Bluegill Data; 1.3 Loading Data into Arc; 1.4 Numerical Summaries; 1.4.1 Display Summaries; 1.4.2 Command Line; 1.4.3 Displaying Data; 1.4.4 Saving Output to a File and Printing; 1 .5 Graphical Summaries; 1.5.1Histograms; 1.5.2 Boxplots; 1.6.Bringing in the Population; 1.6. I The Density Function; 1.6.2 Normal Distribution; I .6.3 Computing Normal Quantiles; 1.6.4 Computing Normal Probabilities; 1.6.5 Boxplots of Normal Data
1.6.6 The Sampling Distribution of the Mean1.7 Inference; 1.7.1 Sample Mean; 1.7.2 Confidence Interval for the Mean; 1.7.3 Probability of a Record Bluegill; 1.8 Complements; Problems; 2 Introduction to Regression; 2.1 Using Boxplots to Study Length \ Age; 2.2 Using a Scatterplot to Study Length \ Age; 2.3 Mouse Modes; 2.3.1 Show Coordinates Mouse Mode; 2.3.2 Slicing Mode; 2.3.3 Brushing Mode; 2.4 Characterizing Length\ Age; 2.5 Mean and Variance Functions; 2.5.1 Mean Function; 2.5.2 Variance Function; 2.6 Highlights; 2.7 Complements; Problems; 3 Introduction to Smoothing
3.1 Slicing a Scatterplot3.2 Estimating E(y I x) by Slicing; 3.3 Estimating E(y Ix) by Smoothing; 3.4 Checking a Theory; 3.5 Boxplots; 3.6 Snow Geese; 3.6.1 Snow Goose Regression; 3.6.2 Mean Function; 3.6.3 Variance Function; 3.7 Complements; Problems; 4 Bivariate Distributions; 4.1 General Bivariate Distributions; 4.1.1 Bivariate Densities; 4.1.2 Connecting with Regression; 4.1.3 Independence; 4.1.4 Covariance; 4.1.5 Correlation Coefficient; 4.2 Bivariate Normal Distribution; 4.2.1 Correlation Coefficient in Normal Populations; 4.2.2 Correlation Coefficient in Non-normal Populations
4.3.Regression in Bivariate Normal Populations4.3.1 Mean Function; 4.3.2 Mean Function in Standardized Variables; 4.3.3 Mean Function as a Straight Line; 4.3.4 Variance Function; 4.4 Smoothing Bivariate Normal Data; 4.5 Complements; 4.5.1 Confidence Interval for a Correlation; 4.5.2 References; Problems; 5 Two-Dimensional Plots; 5.1 Aspect Ratio and Focusing; 5.2 Power Transformations; 5.3 Thinking about Power Transformations; 5.4 Log Transformations; 5.5 Showing Labels and Coordinates; 5.6 Linking Plots; 5.7 Point Symbols and Colors; 5.8 Brushing; 5.9 Name Lists; 5.10 Probability Plots
5.11 ComplementsProblems; PART II. TOOLS; 6 Simple Linear Regression; 6.1 Simple Linear Regression; 6.2 Least Squares Estimation; 6.2.1 Notation; 6.2.2 The Least Squares Criterion; 6.2.3 Ordinary Least Squares Estimators; 6.2.4 More on Sample Correlation; 6.2.5 Some Properties of Least Squares Estimates; 6.2.6 Estimating the Common Variance, (T*; 6.2.7 Summary; 6.3 Using Arc; 6.3.1 Interpreting the Intercept; 6.4 Inference; 6.4.1 Inferences about Parameters; 6.4.2 Estimating Population Means; 6.4.3 Prediction; 6.5 Forbes' Experiments, Revisited; 6.6 Model Comparison; 6.6.1 Models
6.6.2 Analysis of Variance
Record Nr. UNINA-9910830719303321
Cook R. Dennis  
New York, : Wiley, 1999
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui