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Alternative methods of regression [[electronic resource] /] / David Birkes, Yadolah Dodge
Alternative methods of regression [[electronic resource] /] / David Birkes, Yadolah Dodge
Autore Birkes David
Pubbl/distr/stampa New York, : John Wiley, 1993
Descrizione fisica 1 online resource (248 p.)
Disciplina 519.5/36
519.536
Altri autori (Persone) DodgeYadolah <1944->
Collana Wiley Series in Probability and Statistics
Soggetto topico Regression analysis
Multivariate analysis
ISBN 1-283-29481-8
9786613294814
1-118-15023-6
1-118-15024-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Alternative Methods of Regression; Contents; Preface; Acknowledgments; 1. Linear Regression Analysis; 1.1 Introduction; 1.2 Example; 1.3 The Linear Regression Model; 1.4 Estimating the Regression Coefficients; 1.5 Testing the Significance of the Relationship; 1.6 The Need for Alternative Methods; 1.7 The Origin of the Word ""Regression""; Notes; References; 2. Constructing and Checking the Model; 2.1 Introduction; 2.2 Checking the Model; 2.3 Modifying the Model; 2.4 Examples; Notes; References; 3. Least-Squares Regression; 3.1 Introduction; 3.2 An Example of Simple Regression
3.3 Estimating the Regression Line3.4 Testing β = 0; 3.5 Checking Normality; 3.6 An Example of Multiple Regression; 3.7 Estimating the Regression Coefficients; 3.8 Testing the Regression Coefficients; 3.9 Testing βq + 1 = · · · = βp = 0; 3.10 Testing β3 = 0; 3.11 The Coefficient of Determination; 3.12 Computation; Notes; References; 4. Least-Absolute-Deviations Regression; 4.1 Introduction; 4.2 Estimating the Regression Line; 4.3 Nonuniqueness and Degeneracy; 4.4 Testing β = 0; 4.5 An Example of Multiple Regression; 4.6 Estimating the Regression Coefficients
4.7 Testing βq + 1 = · · · = βp = 04.8 Computation; Notes; References; 5. M-Regression; 5.1 Introduction; 5.2 An Example of Simple Regression; 5.3 Estimating the Regression Line; 5.4 Testing β = 0; 5.5 An Example of Multiple Regression; 5.6 Estimating the Regression Coefficients; 5.7 Testing βq + 1 = · · · = βp = 0; 5.8 Computation; Notes; References; 6. Nonparametric Regression; 6.1 Introduction; 6.2 An Example of Simple Regression; 6.3 Estimating the Regression Line; 6.4 Testing β = 0; 6.5 An Example of Multiple Regression; 6.6 Estimating the Regression Coefficients
6.7 Testing βq + 1 = · · · = βp = 06.8 Computation; Notes; References; 7. Bayesian Regression; 7.1 Introduction; 7.2 The Bayesian Approach; 7.3 An Example of Simple Regression; 7.4 Estimating the Regression Line; 7.5 Testing β = 0; 7.6 An Example of Multiple Regression; 7.7 Estimating the Regression Coefficients; 7.8 Testing βq + 1 = · · · = βp = 0; 7.9 Computation; Notes; References; 8. Ridge Regression; 8.1 Introduction; 8.2 An Example of Simple Regression; 8.3 Estimating the Regression Line; 8.4 An Example of Multiple Regression; 8.5 Standardization
8.6 Estimating the Regression Coefficients8.7 Collinearity; Notes; References; 9. Comparisons; 9.1 Introduction; 9.2 Comparison of Properties; 9.3 Comparisons on Three Data Sets; Notes; References; 10. Other Methods; 10.1 Introduction; 10.2 Other Methods of Linear Regression; 10.3 More General Methods of Regression; References; Appendix; Student's t-Distribution; F-Distribution; Chi-squared Distribution; Index
Record Nr. UNINA-9910841134903321
Birkes David  
New York, : John Wiley, 1993
Materiale a stampa
Lo trovi qui: Univ. Federico II
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An introduction to regression graphics / R. Dennis Cook
An introduction to regression graphics / R. Dennis Cook
Autore COOK, Dennis R.
Pubbl/distr/stampa New York ; Chichester : John Wiley & Sons. Inc., 1994
Descrizione fisica 253 p. : graf. , 24 cm.
Disciplina 519.536(Analisi della regressione)
Collana Wiley series in probability and mathematical statistics
Soggetto topico analisi della regressione - Metidi grafici
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-990005485930203316
COOK, Dennis R.  
New York ; Chichester : John Wiley & Sons. Inc., 1994
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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An introduction to statistical analysis for economists / J. J. Thomas
An introduction to statistical analysis for economists / J. J. Thomas
Autore THOMAS, J. J.
Pubbl/distr/stampa London : Weidenfeld and Nicolson, 1973
Descrizione fisica 285 p. : graf. ; 22 cm.
Disciplina 519.536(Analisi della regressione)
Soggetto topico ANALISI STATISTICA
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-990005449360203316
THOMAS, J. J.  
London : Weidenfeld and Nicolson, 1973
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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An R and S-Plus companion to applied regression / John Fox
An R and S-Plus companion to applied regression / John Fox
Autore Fox, John
Pubbl/distr/stampa Thousand Oaks [etc.], : Sage Publications, ©2002
Descrizione fisica XVI, 311 p. : graf. ; 25 cm.
Disciplina 519.536
Soggetto topico Analisi della regressione
S-Plus
ISBN 0761922806
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAS-RML0289182
Fox, John  
Thousand Oaks [etc.], : Sage Publications, ©2002
Materiale a stampa
Lo trovi qui: Univ. di Cassino
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Analyse de régression appliquée / Yadolah Dodge
Analyse de régression appliquée / Yadolah Dodge
Autore Dodge, Yadolah
Pubbl/distr/stampa Paris : Dunod, 1999
Descrizione fisica x, 278 p. ; 24 cm
Disciplina 519.536
Soggetto non controllato Regressione
Modello lineare
ISBN 2-10-004284-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione fre
Record Nr. UNINA-990003415830403321
Dodge, Yadolah  
Paris : Dunod, 1999
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Analyzing qualitative/categorial data : log-linear models and latent structure analysis / Leo A. Goodman ; edited by Jay Magidson
Analyzing qualitative/categorial data : log-linear models and latent structure analysis / Leo A. Goodman ; edited by Jay Magidson
Autore Goodman, Leo A.
Pubbl/distr/stampa Cambridge : Abt Books, c1978
Descrizione fisica viii, 471 p. : fig., tab. ; 26 cm
Disciplina 519.536
Soggetto non controllato STATISTICA MATEMATICA - Analisi della regressione
ISBN 0-89011-513-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990003753810403321
Goodman, Leo A.  
Cambridge : Abt Books, c1978
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applications of Regression Techniques [[electronic resource] /] / by Manoranjan Pal, Premananda Bharati
Applications of Regression Techniques [[electronic resource] /] / by Manoranjan Pal, Premananda Bharati
Autore Pal Manoranjan
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (181 pages)
Disciplina 519.536
Soggetto topico Statistics 
Econometrics
Statistics for Business, Management, Economics, Finance, Insurance
Statistical Theory and Methods
ISBN 981-13-9314-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to Regression Analysis and an overview of the techniques used in the book -- Chapter 2: Regression Decomposition Technique towards Finding Intra-Household Gender Bias of Calorie Consumption -- Chapter 3: Estimation of Poverty Rates by Calorie Decomposition Method -- Chapter 4: Estimating Calorie-Poverty Rates through Regression -- Chapter 5: Contribution of Regressors: A Set Theoretic Approach -- Chapter 6: Estimation of Hidden Markov Chain through Regression -- Chapter 7: Finding Geometric Mean and Aggregate Growth Rate through regression -- Chapter 8: Summary and Discussions.
Record Nr. UNINA-9910350241803321
Pal Manoranjan  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied linear regression [[electronic resource] /] / Sanford Weisberg
Applied linear regression [[electronic resource] /] / Sanford Weisberg
Autore Weisberg Sanford <1947->
Edizione [4th ed.]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, 2014
Descrizione fisica 1 online resource (xvii, 340 p.) : ill
Disciplina 519.536
Collana Wiley series in probability and statistics
Soggetto topico Regression analysis
Linear models (Statistics)
Soggetto genere / forma Electronic books.
ISBN 1-118-78955-5
1-118-59485-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Scatterplots -- 2 Simple Linear Regression -- 3 Multiple Regression -- 4 Interpretation of Main Effects -- 5 Complex Regressors -- 6 Testing and Analysis of Variance -- 7 Variances -- 8 Transformations -- 9 Regression Diagnostics -- 10 Variable Selection -- 11 Nonlinear Regression -- 12 Binomial and Poisson Regression -- A Appendix -- Bibliography -- Index.
Record Nr. UNINA-9910462981403321
Weisberg Sanford <1947->  
Hoboken, N.J., : Wiley, 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied linear regression [[electronic resource]]
Applied linear regression [[electronic resource]]
Autore Weisberg Sanford <1947->
Edizione [3rd ed.]
Pubbl/distr/stampa Hoboken, : Wiley, 2005
Descrizione fisica 1 online resource (336 p.)
Disciplina 519.536
Collana Wiley Series in Probability and Statistics
Soggetto topico Regression analysis
Mathematics
Physical Sciences & Mathematics
Mathematical Statistics
ISBN 1-118-62595-1
1-280-53981-X
9786610539819
0-470-36037-2
0-471-70409-1
0-471-70408-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applied Linear Regression; Contents; Preface; 1 Scatterplots and Regression; 1.1 Scatterplots; 1.2 Mean Functions; 1.3 Variance Functions; 1.4 Summary Graph; 1.5 Tools for Looking at Scatterplots; 1.5.1 Size; 1.5.2 Transformations; 1.5.3 Smoothers for the Mean Function; 1.6 Scatterplot Matrices; Problems; 2 Simple Linear Regression; 2.1 Ordinary Least Squares Estimation; 2.2 Least Squares Criterion; 2.3 Estimating σ(2); 2.4 Properties of Least Squares Estimates; 2.5 Estimated Variances; 2.6 Comparing Models: The Analysis of Variance; 2.6.1 The F-Test for Regression
2.6.2 Interpreting p-values2.6.3 Power of Tests; 2.7 The Coefficient of Determination, R(2); 2.8 Confidence Intervals and Tests; 2.8.1 The Intercept; 2.8.2 Slope; 2.8.3 Prediction; 2.8.4 Fitted Values; 2.9 The Residuals; Problems; 3 Multiple Regression; 3.1 Adding a Term to a Simple Linear Regression Model; 3.1.1 Explaining Variability; 3.1.2 Added-Variable Plots; 3.2 The Multiple Linear Regression Model; 3.3 Terms and Predictors; 3.4 Ordinary Least Squares; 3.4.1 Data and Matrix Notation; 3.4.2 Variance-Covariance Matrix of e; 3.4.3 Ordinary Least Squares Estimators
3.4.4 Properties of the Estimates3.4.5 Simple Regression in Matrix Terms; 3.5 The Analysis of Variance; 3.5.1 The Coefficient of Determination; 3.5.2 Hypotheses Concerning One of the Terms; 3.5.3 Relationship to the t -Statistic; 3.5.4 t-Tests and Added-Variable Plots; 3.5.5 Other Tests of Hypotheses; 3.5.6 Sequential Analysis of Variance Tables; 3.6 Predictions and Fitted Values; Problems; 4 Drawing Conclusions; 4.1 Understanding Parameter Estimates; 4.1.1 Rate of Change; 4.1.2 Signs of Estimates; 4.1.3 Interpretation Depends on Other Terms in the Mean Function
4.1.4 Rank Deficient and Over-Parameterized Mean Functions4.1.5 Tests; 4.1.6 Dropping Terms; 4.1.7 Logarithms; 4.2 Experimentation Versus Observation; 4.3 Sampling from a Normal Population; 4.4 More on R(2); 4.4.1 Simple Linear Regression and R(2); 4.4.2 Multiple Linear Regression; 4.4.3 Regression through the Origin; 4.5 Missing Data; 4.5.1 Missing at Random; 4.5.2 Alternatives; 4.6 Computationally Intensive Methods; 4.6.1 Regression Inference without Normality; 4.6.2 Nonlinear Functions of Parameters; 4.6.3 Predictors Measured with Error; Problems; 5 Weights, Lack of Fit, and More
5.1 Weighted Least Squares5.1.1 Applications of Weighted Least Squares; 5.1.2 Additional Comments; 5.2 Testing for Lack of Fit, Variance Known; 5.3 Testing for Lack of Fit, Variance Unknown; 5.4 General F Testing; 5.4.1 Non-null Distributions; 5.4.2 Additional Comments; 5.5 Joint Confidence Regions; Problems; 6 Polynomials and Factors; 6.1 Polynomial Regression; 6.1.1 Polynomials with Several Predictors; 6.1.2 Using the Delta Method to Estimate a Minimum or a Maximum; 6.1.3 Fractional Polynomials; 6.2 Factors; 6.2.1 No Other Predictors; 6.2.2 Adding a Predictor: Comparing Regression Lines
6.2.3 Additional Comments
Altri titoli varianti Wiley Series in Probability and Statistics
Applied Linear Regression, Third Edition
Record Nr. UNINA-9910143572703321
Weisberg Sanford <1947->  
Hoboken, : Wiley, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied linear regression / Sanford Weisberg
Applied linear regression / Sanford Weisberg
Autore Weisberg, Sanford
Edizione [3. ed]
Pubbl/distr/stampa New York, : Wiley-Interscience, ©2005
Descrizione fisica XVI, 310 p. ; 24 cm
Disciplina 519.536
Soggetto topico Analisi della regressione
ISBN 0471663794
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAS-RML0289127
Weisberg, Sanford  
New York, : Wiley-Interscience, ©2005
Materiale a stampa
Lo trovi qui: Univ. di Cassino
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