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Advanced and multivariate statistical methods : practical application and interpretation / / Craig A. Mertler and Rachel Vannatta Reinhart
Advanced and multivariate statistical methods : practical application and interpretation / / Craig A. Mertler and Rachel Vannatta Reinhart
Autore Mertler Craig A.
Edizione [Sixth edition.]
Pubbl/distr/stampa New York : , : Routledge, , 2017
Descrizione fisica 1 online resource (480 pages)
Disciplina 519.5/35
Altri autori (Persone) VannattaRachel A
Soggetto topico Multivariate analysis
ISBN 1-315-26697-0
1-351-97166-2
1-351-97167-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ch. 1. Introduction to multivariate statistics -- ch. 2. A guide to multivariate techniques -- ch. 3. Pre-analysis data screening -- ch. 4. Factorial analysis of variance -- ch. 5. Analysis of covariance -- ch. 6. Multivariate analysis of variance and covariance -- ch. 7. Multiple regression -- ch. 8. Path analysis -- ch. 9. Factor analysis -- ch. 10. Discriminant analysis -- ch. 11. Logistic regression.
Record Nr. UNINA-9910149385803321
Mertler Craig A.  
New York : , : Routledge, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in multivariate statistical methods [[electronic resource] /] / editor, Ashis SenGupta
Advances in multivariate statistical methods [[electronic resource] /] / editor, Ashis SenGupta
Pubbl/distr/stampa New Jersey, : World Scientific, c2009
Descrizione fisica 1 online resource (492 p.)
Disciplina 519.5/35
Altri autori (Persone) SenguptaA (Ashis)
Collana Statistical science and interdisciplinary research
Platinum jubilee series
Soggetto topico Multivariate analysis
Statistics
Soggetto genere / forma Electronic books.
ISBN 1-282-44321-6
9786612443213
981-283-824-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foreword; Preface; Contents; 1. High-Dimensional Discrete Statistical Models: UIP, MCP and CSI in Perspectives P. K. Sen; 2. A Review of Multivariate Theory for High Dimensional Data with Fewer Observations M. S. Srivastava; 3. Model Based Penalized Clustering for Multivariate Data S. Ghosh and D. K. Dey; 4. Jacobians Under Constraints and Statistical Bioinformatics K. V. Mardia; 5. Cluster Validation for Microarray Data: An Appraisal V. Pihur, G. N. Brock and S. Datta; 6. Flexible Bivariate Circular Models B. C. Arnold and A. SenGupta
7. Optimal Text Space Representation of Student Essays Using Latent Semantic Analysis A. Villacorta and S. R. Jammalamadaka8. Linear Regression for Random Measures M. M. Rao; 9. Mixed Multivariate Models for Random Sums and Maxima T. J. Kozubowski, A. K. Panorska and F. Biondi; 10. Estimation of the Multivariate Box-Cox Transformation Parameters M. Rahman and L. M. Pearson; 11. Generation of Multivariate Densities R. N. Rattihalli and A. N. Basugade; 12. Smooth Estimation of Multivariate Distribution and Density Functions Y. P. Chaubey
13. Estimation Using Quantile Function Structure with Emphasis on Weibull Distribution G. D. Kollia, G. S. Mudholkar and D. K. Srivastava14. On Optimal Estimating Functions in the Presence of Nuisance Parameters P. Mukhopadhyay; 15. Inference in Exponential Family Regression Models Under Certain Shape Constraints M. Banerjee; 16. Study of Optimal Adaptive Rule in Testing Problem S. K. Bhandari, R. Dutta and R. G. Niyogi; 17. The G-IG Analogies and Robust Tests for Inverse Gaussian Scale Parameters G. S. Mudholkar, H. Wang and R. Natarajan
18. Clusterwise Regression Using Dirichlet Mixtures C. Kang and S. Ghosal19. Bayesian Analysis of Rank Data Using SIR A. K. Laha and S. Dongaonkar; 20. Bayesian Tests of Equality of Stratified Proportions for a Multiple Response Categorical Variable B. Nandram; 21. Respondent-Generated Intervals in Sample Surveys: A Summary S. J. Press and J. M. Tanur; 22. Quality Index and Mahalanobis D2 Statistic R. Dasgupta; 23. AQL Based Multiattribute Sampling Scheme A. Majumdar
24. Multivariate Quality Management in Terms of a Desirability Measure and a Related Result on Purchase Decision: A Distributional Study D. Roy25. Time Series of Categorical Data Using Auto-Mutual Information with Application of Fitting an AR(2) Model A. Biswas and A. Guha; 26. Estimation of Integrated Covolatility for Asynchronous Assets in the Presence of Microstructure Noise R. Sen and Q. Xu; 27. Improving the Hansen-Hurwitz Estimator in PPSWR Sampling A. K. Adhikary
Record Nr. UNINA-9910456864003321
New Jersey, : World Scientific, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in multivariate statistical methods [[electronic resource] /] / editor, Ashis SenGupta
Advances in multivariate statistical methods [[electronic resource] /] / editor, Ashis SenGupta
Pubbl/distr/stampa New Jersey, : World Scientific, c2009
Descrizione fisica 1 online resource (492 p.)
Disciplina 519.5/35
Altri autori (Persone) SenguptaA (Ashis)
Collana Statistical science and interdisciplinary research
Platinum jubilee series
Soggetto topico Multivariate analysis
Statistics
ISBN 1-282-44321-6
9786612443213
981-283-824-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foreword; Preface; Contents; 1. High-Dimensional Discrete Statistical Models: UIP, MCP and CSI in Perspectives P. K. Sen; 2. A Review of Multivariate Theory for High Dimensional Data with Fewer Observations M. S. Srivastava; 3. Model Based Penalized Clustering for Multivariate Data S. Ghosh and D. K. Dey; 4. Jacobians Under Constraints and Statistical Bioinformatics K. V. Mardia; 5. Cluster Validation for Microarray Data: An Appraisal V. Pihur, G. N. Brock and S. Datta; 6. Flexible Bivariate Circular Models B. C. Arnold and A. SenGupta
7. Optimal Text Space Representation of Student Essays Using Latent Semantic Analysis A. Villacorta and S. R. Jammalamadaka8. Linear Regression for Random Measures M. M. Rao; 9. Mixed Multivariate Models for Random Sums and Maxima T. J. Kozubowski, A. K. Panorska and F. Biondi; 10. Estimation of the Multivariate Box-Cox Transformation Parameters M. Rahman and L. M. Pearson; 11. Generation of Multivariate Densities R. N. Rattihalli and A. N. Basugade; 12. Smooth Estimation of Multivariate Distribution and Density Functions Y. P. Chaubey
13. Estimation Using Quantile Function Structure with Emphasis on Weibull Distribution G. D. Kollia, G. S. Mudholkar and D. K. Srivastava14. On Optimal Estimating Functions in the Presence of Nuisance Parameters P. Mukhopadhyay; 15. Inference in Exponential Family Regression Models Under Certain Shape Constraints M. Banerjee; 16. Study of Optimal Adaptive Rule in Testing Problem S. K. Bhandari, R. Dutta and R. G. Niyogi; 17. The G-IG Analogies and Robust Tests for Inverse Gaussian Scale Parameters G. S. Mudholkar, H. Wang and R. Natarajan
18. Clusterwise Regression Using Dirichlet Mixtures C. Kang and S. Ghosal19. Bayesian Analysis of Rank Data Using SIR A. K. Laha and S. Dongaonkar; 20. Bayesian Tests of Equality of Stratified Proportions for a Multiple Response Categorical Variable B. Nandram; 21. Respondent-Generated Intervals in Sample Surveys: A Summary S. J. Press and J. M. Tanur; 22. Quality Index and Mahalanobis D2 Statistic R. Dasgupta; 23. AQL Based Multiattribute Sampling Scheme A. Majumdar
24. Multivariate Quality Management in Terms of a Desirability Measure and a Related Result on Purchase Decision: A Distributional Study D. Roy25. Time Series of Categorical Data Using Auto-Mutual Information with Application of Fitting an AR(2) Model A. Biswas and A. Guha; 26. Estimation of Integrated Covolatility for Asynchronous Assets in the Presence of Microstructure Noise R. Sen and Q. Xu; 27. Improving the Hansen-Hurwitz Estimator in PPSWR Sampling A. K. Adhikary
Record Nr. UNINA-9910780806503321
New Jersey, : World Scientific, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in multivariate statistical methods [[electronic resource] /] / editor, Ashis SenGupta
Advances in multivariate statistical methods [[electronic resource] /] / editor, Ashis SenGupta
Pubbl/distr/stampa New Jersey, : World Scientific, c2009
Descrizione fisica 1 online resource (492 p.)
Disciplina 519.5/35
Altri autori (Persone) SenguptaA (Ashis)
Collana Statistical science and interdisciplinary research
Platinum jubilee series
Soggetto topico Multivariate analysis
Statistics
ISBN 1-282-44321-6
9786612443213
981-283-824-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foreword; Preface; Contents; 1. High-Dimensional Discrete Statistical Models: UIP, MCP and CSI in Perspectives P. K. Sen; 2. A Review of Multivariate Theory for High Dimensional Data with Fewer Observations M. S. Srivastava; 3. Model Based Penalized Clustering for Multivariate Data S. Ghosh and D. K. Dey; 4. Jacobians Under Constraints and Statistical Bioinformatics K. V. Mardia; 5. Cluster Validation for Microarray Data: An Appraisal V. Pihur, G. N. Brock and S. Datta; 6. Flexible Bivariate Circular Models B. C. Arnold and A. SenGupta
7. Optimal Text Space Representation of Student Essays Using Latent Semantic Analysis A. Villacorta and S. R. Jammalamadaka8. Linear Regression for Random Measures M. M. Rao; 9. Mixed Multivariate Models for Random Sums and Maxima T. J. Kozubowski, A. K. Panorska and F. Biondi; 10. Estimation of the Multivariate Box-Cox Transformation Parameters M. Rahman and L. M. Pearson; 11. Generation of Multivariate Densities R. N. Rattihalli and A. N. Basugade; 12. Smooth Estimation of Multivariate Distribution and Density Functions Y. P. Chaubey
13. Estimation Using Quantile Function Structure with Emphasis on Weibull Distribution G. D. Kollia, G. S. Mudholkar and D. K. Srivastava14. On Optimal Estimating Functions in the Presence of Nuisance Parameters P. Mukhopadhyay; 15. Inference in Exponential Family Regression Models Under Certain Shape Constraints M. Banerjee; 16. Study of Optimal Adaptive Rule in Testing Problem S. K. Bhandari, R. Dutta and R. G. Niyogi; 17. The G-IG Analogies and Robust Tests for Inverse Gaussian Scale Parameters G. S. Mudholkar, H. Wang and R. Natarajan
18. Clusterwise Regression Using Dirichlet Mixtures C. Kang and S. Ghosal19. Bayesian Analysis of Rank Data Using SIR A. K. Laha and S. Dongaonkar; 20. Bayesian Tests of Equality of Stratified Proportions for a Multiple Response Categorical Variable B. Nandram; 21. Respondent-Generated Intervals in Sample Surveys: A Summary S. J. Press and J. M. Tanur; 22. Quality Index and Mahalanobis D2 Statistic R. Dasgupta; 23. AQL Based Multiattribute Sampling Scheme A. Majumdar
24. Multivariate Quality Management in Terms of a Desirability Measure and a Related Result on Purchase Decision: A Distributional Study D. Roy25. Time Series of Categorical Data Using Auto-Mutual Information with Application of Fitting an AR(2) Model A. Biswas and A. Guha; 26. Estimation of Integrated Covolatility for Asynchronous Assets in the Presence of Microstructure Noise R. Sen and Q. Xu; 27. Improving the Hansen-Hurwitz Estimator in PPSWR Sampling A. K. Adhikary
Record Nr. UNINA-9910816871703321
New Jersey, : World Scientific, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
AI Assisted Business Analytics [[electronic resource] ] : Techniques for Reshaping Competitiveness / / by Joseph Boffa
AI Assisted Business Analytics [[electronic resource] ] : Techniques for Reshaping Competitiveness / / by Joseph Boffa
Autore Boffa Joseph
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (133 pages)
Disciplina 300.727
Soggetto topico Statistics
Stochastic models
Multivariate analysis
Statistics in Business, Management, Economics, Finance, Insurance
Stochastic Modelling in Statistics
Multivariate Analysis
ISBN 3-031-40821-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Business Prosperity -- Analytics Case Studies -- Statistical Audit Design -- The Sales Tax Audit -- Forensic Accounting Using Benford Formula -- Financial Projections -- Planning Expenses and Investments -- Market Research.
Record Nr. UNINA-9910755079503321
Boffa Joseph  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Soggetto genere / forma Electronic books.
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-9910139573103321
Birkes David  
New York, : John Wiley, 1993
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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. UNISA-996218078503316
Birkes David  
New York, : John Wiley, 1993
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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-9910831025803321
Birkes David  
New York, : John Wiley, 1993
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
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The analysis and interpretation of multivariate data for social scientists / David J. Bartholomew ... [et al.]
The analysis and interpretation of multivariate data for social scientists / David J. Bartholomew ... [et al.]
Pubbl/distr/stampa Boca Raton, Fla : Chapman & Hall/CRC, c2002
Descrizione fisica xi, 263 p. : ill. ; 25 cm.
Disciplina 519.535
Altri autori (Persone) Bartholomew, David J.
Collana Texts in statistical science
Soggetto topico Social sciences - Statistical methods
Multivariate analysis
ISBN 1584882956
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991004028679707536
Boca Raton, Fla : Chapman & Hall/CRC, c2002
Materiale a stampa
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