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.
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New York : , : Routledge, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 | ||
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Lo trovi qui: Univ. Federico II | ||
|
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 | ||
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Lo trovi qui: Univ. Federico II | ||
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AI Assisted Business Analytics : 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
658.4012 |
Soggetto topico |
Statistics
Stochastic models Multivariate analysis Statistics in Business, Management, Economics, Finance, Insurance Stochastic Modelling in Statistics Multivariate Analysis Planificació empresarial Planificació estratègica Processament de dades Intel·ligència artificial Aplicacions industrials Competència econòmica |
Soggetto genere / forma | Llibres electrònics |
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
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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New York, : John Wiley, 1993 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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
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New York, : John Wiley, 1993 | ||
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Lo trovi qui: Univ. di Salerno | ||
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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
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||
New York, : John Wiley, 1993 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Alternative methods of regression / / 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-9910877756703321 |
Birkes David
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New York, : John Wiley, 1993 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 | ||
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Lo trovi qui: Univ. del Salento | ||
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Analysis of health surveys [[electronic resource] /] / Edward L. Korn, Barry I. Graubard |
Autore | Korn Edward Lee |
Pubbl/distr/stampa | New York, : Wiley, 1999 |
Descrizione fisica | 1 online resource (408 p.) |
Disciplina |
613.0723
614.4/2 |
Altri autori (Persone) | GraubardBarry I. <1950-> |
Collana | Wiley series in probability and statistics |
Soggetto topico |
Sampling (Statistics)
Multivariate analysis Health surveys - Statistical methods |
Soggetto genere / forma | Electronic books. |
ISBN |
1-282-24992-4
9786613813862 1-118-03261-6 1-118-03086-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Analysis of Health Surveys; Contents; Preface; 1. Introduction; 1.1 Why Analyze Health Surveys?; 1.2 Conducting a Large-scale Health Survey: The Third National Health and Nutrition Examination Survey; 1.3 Common Types of Health Surveys and Their Sample Designs; 1.4 Sampling Frames; 1.5 The Complexity of Analyzing Survey Data: A Preview; 2. Basic Survey Methodology; 2.1 Introduction; 2.2 Single-Stage Sampling Plans; 2.3 Multistage Sampling; 2.4 Variance Estimation of Functions of Estimators: Linearization
2.5 Replication Methods of Variance Estimation: The Jackknife, Balanced Half-Sample Replication, and the Bootstrap2.6 Using Auxiliary Population Information to Analyze Survey Data: Poststratification, and Ratio and Regression Estimators; 2.7 Nonsampling Errors: Nonresponse, Sampling Frame Undercoverage, and Measurement Error; 2.8 Some Other Types of Surveys; 2.9 Notes; 2.10 Problems; 3. Statistical Analysis with Survey Data; 3.1 Introduction; 3.2 Inference for a Single Variable: Means, Measures of Dispersion, Proportions, Totals, and Percentiles 3.3 Comparisons Between Two Means: T-Tests and Tests of Proportions3.4 Scatterplots; 3.5 Linear Regression and Analysis of Variance; 3.6 Logistic Regression: Analysis of Categorical Outcomes; 3.7 Survival Analysis: Analysis of Cohort Data; 3.8 Predictive Margins (Direct Standardization); 3.9 Analyses Restricted to Subpopulations; 3.10 Other Types of Analyses; 3.11 Notes; 3.12 Problems; 4. Sample Weights and Imputation; 4.1 Introduction; 4.2 Components of Sample Weights; 4.3 Weighted Versus Unweighted Estimates of Population Parameters; 4.4 The Inefficiency of Using Sample Weights 4.5 Modeling the Survey Design-An Alternative to Weighted Estimation4.6 Summary of Recommendations for Utilizing Sample Weights; 4.7 Imputation for Missing Data; 4.8 Notes; 4.9 Problems; 5. Additional Issues in Variance Estimation; 5.1 Introduction; 5.2 Limited Degrees of Freedom for Variance Estimation; 5.3 Strata with One Sampled Primary Sampling Unit; 5.4 Variance Estimation for Subpopulations; 5.5 Variance Estimation with Imputed Values; 5.6 Generalized Variance Functions; 5.7 Variance Estimation for Superpopulation Inference; 5.8 Notes; 5.9 Problems; 6. Cross-Sectional Analyses 6.1 Introduction6.2 Identifying Individuals at High Risk for Snuff Use; 6.3 Blood Lead Levels and Blood Pressure; 6.4 Poverty Index and Height in Children; 6.5 Notes; 6.6 Problems; 7. Analysis of Longitudinal Surveys; 7.1 Introduction; 7.2 Body Iron Stores and the Risk of Developing Cancer; 7.3 Estimating the Transition Probabilities of Becoming Disabled and Recovering from Disability in Old Age; 7.4 Notes; 7.5 Problems; 8. Analyses Using Multiple Surveys; 8.1 Introduction; 8.2 Revising Sample Weights from Multiple Surveys of a Population; 8.3 Growth Charts 8.4 Changing Rates of Mammography Screening |
Record Nr. | UNINA-9910139188903321 |
Korn Edward Lee
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New York, : Wiley, 1999 | ||
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Lo trovi qui: Univ. Federico II | ||
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