Rank-based methods for shrinkage and selection : with application to machine learning / / A. K. Ehsanes Saleh, [and three others] |
Autore | Saleh A. K. Md. Ehsanes |
Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2022] |
Descrizione fisica | 1 online resource (482 pages) |
Disciplina | 519.536 |
Soggetto topico | Regression analysis |
Soggetto genere / forma | Electronic books. |
ISBN |
1-119-62543-2
1-119-62541-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566695503321 |
Saleh A. K. Md. Ehsanes
![]() |
||
Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2022] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Rank-based methods for shrinkage and selection : with application to machine learning / / A. K. Ehsanes Saleh, [and three others] |
Autore | Saleh A. K. Md. Ehsanes |
Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2022] |
Descrizione fisica | 1 online resource (482 pages) |
Disciplina | 519.536 |
Soggetto topico | Regression analysis |
ISBN |
1-119-62543-2
1-119-62541-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910830584703321 |
Saleh A. K. Md. Ehsanes
![]() |
||
Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2022] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Statistical inference for models with multivariate t-distributed errors / / A. K. Md. Ehsanes Saleh, M. Arashi, S. M. M. Tabatabaey |
Autore | Saleh A. K. Md. Ehsanes |
Edizione | [1st edition] |
Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, , 2014 |
Descrizione fisica | 1 online resource (275 p.) |
Disciplina | 519.536 |
Soggetto topico |
Regression analysis
Multivariate analysis |
ISBN |
1-118-85396-2
1-118-85392-X 1-118-85393-8 |
Classificazione | MAT029030MAT029010MAT029020 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright Page; CONTENTS; List of Figures; List of Tables; Preface; Glossary; List of Symbols; 1 Introduction; 1.1 Objective of the Book; 1.2 Models under Consideration; 1.2.1 Location Model; 1.2.2 Simple Linear Model; 1.2.3 ANOVA Model; 1.2.4 Parallelism Model; 1.2.5 Multiple Regression Model; 1.2.6 Ridge Regression; 1.2.7 Multivariate Model; 1.2.8 Simple Multivariate Linear Model; 1.3 Organization of the Book; 1.4 Problems; 2 Preliminaries; 2.1 Normal Distribution; 2.2 Chi-Square Distribution; 2.3 Student''s t-Distribution; 2.4 F-Distribution
2.5 Multivariate Normal Distribution2.6 Multivariate t-Distribution; 2.6.1 Expected Values of Functions of M_t^(p)(η , σ^2V_p, γo) - Variables; 2.6.2 Sampling Distribution of Quadratic Forms; 2.6.3 Distribution of Linear Functions of t-Variables; 2.7 Problems; 3 Location Model; 3.1 Model Specification; 3.2 Unbiased Estimates of θ and σ^2 and Test of Hypothesis; 3.3 Estimators; 3.4 Bias and MSE Expressions of the Location Estimators; 3.4.1 Analysis of the Estimators of Location Parameter; 3.5 Various Estimates of Variance; 3.5.1 Bias and MSE Expressions of the Variance Estimators 3.5.2 Analysis of the Estimators of the Variance Parameter3.6 Problems; 4 Simple Regression Model; 4.1 Introduction; 4.2 Estimation and Testing of η; 4.2.1 Estimation of η; 4.2.2 Test of Intercept Parameter; 4.2.3 Estimators of β and θ; 4.3 Properties of Intercept Parameter; 4.3.1 Bias Expressions of the Estimators; 4.3.2 MSE Expressions of the Estimators; 4.4 Comparison; 4.4.1 Optimum Level of Significance of θ_n^PT; 4.5 Numerical Illustration; 4.6 Problems; 5 ANOVA; 5.1 Model Specification; 5.2 Proposed Estimators and Testing; 5.3 Bias, MSE, and Risk Expressions; 5.4 Risk Analysis 5.4.1 Comparison of θ_n and θ_n5.4.2 Comparison of θ_n_PT and θ_n(θ_n); 5.4.3 Comparison of θ_n^S, θ_n , θn, and θ_n^PT; 5.4.4 Comparison of θ_n^S and θ_n^S+; 5.5 Problems; 6 Parallelism Model; 6.1 Model Specification; 6.2 Estimation of the Parameters and Test of Parallelism; 6.2.1 Test of Parallelism; 6.3 Bias, MSE, and Risk Expressions; 6.3.1 Expressions of Bias, MSE Matrix, and Risks of β_n, Θ_n, β_n, and Θ_n; 6.3.2 Expressions of Bias, MSE Matrix, and Risks of the PTEs of β and Θ; 6.3.3 Expressions of Bias, MSE Matrix, and Risks of the SSEs of β and Θ 6.3.4 Expressions of Bias, MSE Matrix, and Risks of the PRSEs of β and Θ6.4 Risk Analysis; 6.5 Problems; 7 Multiple Regression Model; 7.1 Model Specification; 7.2 Shrinkage Estimators and Testing; 7.3 Bias and Risk Expressions; 7.3.1 Balanced Loss Function; 7.3.2 Properties; 7.4 Comparison; 7.5 Problems; 8 Ridge Regression; 8.1 Model Specification; 8.2 Proposed Estimators; 8.3 Bias, MSE, and Risk Expressions; 8.3.1 Biases of the Estimators; 8.3.2 MSE Matrices and Risks of the Estimators; 8.4 Performance of the Estimators; 8.4.1 Comparison between β_n(k), β_n^S(k), and β_n^S+(k) 8.4.2 Comparison between β_n (k) and β_n^PT (k) |
Record Nr. | UNINA-9910132350603321 |
Saleh A. K. Md. Ehsanes
![]() |
||
Hoboken, New Jersey : , : John Wiley & Sons, , 2014 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Statistical inference for models with multivariate t-distributed errors / / A. K. Md. Ehsanes Saleh, M. Arashi, S. M. M. Tabatabaey |
Autore | Saleh A. K. Md. Ehsanes |
Edizione | [1st edition] |
Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, , 2014 |
Descrizione fisica | 1 online resource (275 p.) |
Disciplina | 519.536 |
Soggetto topico |
Regression analysis
Multivariate analysis |
ISBN |
1-118-85396-2
1-118-85392-X 1-118-85393-8 |
Classificazione | MAT029030MAT029010MAT029020 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright Page; CONTENTS; List of Figures; List of Tables; Preface; Glossary; List of Symbols; 1 Introduction; 1.1 Objective of the Book; 1.2 Models under Consideration; 1.2.1 Location Model; 1.2.2 Simple Linear Model; 1.2.3 ANOVA Model; 1.2.4 Parallelism Model; 1.2.5 Multiple Regression Model; 1.2.6 Ridge Regression; 1.2.7 Multivariate Model; 1.2.8 Simple Multivariate Linear Model; 1.3 Organization of the Book; 1.4 Problems; 2 Preliminaries; 2.1 Normal Distribution; 2.2 Chi-Square Distribution; 2.3 Student''s t-Distribution; 2.4 F-Distribution
2.5 Multivariate Normal Distribution2.6 Multivariate t-Distribution; 2.6.1 Expected Values of Functions of M_t^(p)(η , σ^2V_p, γo) - Variables; 2.6.2 Sampling Distribution of Quadratic Forms; 2.6.3 Distribution of Linear Functions of t-Variables; 2.7 Problems; 3 Location Model; 3.1 Model Specification; 3.2 Unbiased Estimates of θ and σ^2 and Test of Hypothesis; 3.3 Estimators; 3.4 Bias and MSE Expressions of the Location Estimators; 3.4.1 Analysis of the Estimators of Location Parameter; 3.5 Various Estimates of Variance; 3.5.1 Bias and MSE Expressions of the Variance Estimators 3.5.2 Analysis of the Estimators of the Variance Parameter3.6 Problems; 4 Simple Regression Model; 4.1 Introduction; 4.2 Estimation and Testing of η; 4.2.1 Estimation of η; 4.2.2 Test of Intercept Parameter; 4.2.3 Estimators of β and θ; 4.3 Properties of Intercept Parameter; 4.3.1 Bias Expressions of the Estimators; 4.3.2 MSE Expressions of the Estimators; 4.4 Comparison; 4.4.1 Optimum Level of Significance of θ_n^PT; 4.5 Numerical Illustration; 4.6 Problems; 5 ANOVA; 5.1 Model Specification; 5.2 Proposed Estimators and Testing; 5.3 Bias, MSE, and Risk Expressions; 5.4 Risk Analysis 5.4.1 Comparison of θ_n and θ_n5.4.2 Comparison of θ_n_PT and θ_n(θ_n); 5.4.3 Comparison of θ_n^S, θ_n , θn, and θ_n^PT; 5.4.4 Comparison of θ_n^S and θ_n^S+; 5.5 Problems; 6 Parallelism Model; 6.1 Model Specification; 6.2 Estimation of the Parameters and Test of Parallelism; 6.2.1 Test of Parallelism; 6.3 Bias, MSE, and Risk Expressions; 6.3.1 Expressions of Bias, MSE Matrix, and Risks of β_n, Θ_n, β_n, and Θ_n; 6.3.2 Expressions of Bias, MSE Matrix, and Risks of the PTEs of β and Θ; 6.3.3 Expressions of Bias, MSE Matrix, and Risks of the SSEs of β and Θ 6.3.4 Expressions of Bias, MSE Matrix, and Risks of the PRSEs of β and Θ6.4 Risk Analysis; 6.5 Problems; 7 Multiple Regression Model; 7.1 Model Specification; 7.2 Shrinkage Estimators and Testing; 7.3 Bias and Risk Expressions; 7.3.1 Balanced Loss Function; 7.3.2 Properties; 7.4 Comparison; 7.5 Problems; 8 Ridge Regression; 8.1 Model Specification; 8.2 Proposed Estimators; 8.3 Bias, MSE, and Risk Expressions; 8.3.1 Biases of the Estimators; 8.3.2 MSE Matrices and Risks of the Estimators; 8.4 Performance of the Estimators; 8.4.1 Comparison between β_n(k), β_n^S(k), and β_n^S+(k) 8.4.2 Comparison between β_n (k) and β_n^PT (k) |
Record Nr. | UNINA-9910831051103321 |
Saleh A. K. Md. Ehsanes
![]() |
||
Hoboken, New Jersey : , : John Wiley & Sons, , 2014 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Theory of preliminary test and Stein-type estimation with applications [[electronic resource] /] / A.K. Md. Ehsanes Saleh |
Autore | Saleh A. K. Md. Ehsanes |
Pubbl/distr/stampa | Hoboken, NJ, : Wiley-Interscience, c2006 |
Descrizione fisica | 1 online resource (656 p.) |
Disciplina |
519.5/44
519.544 |
Collana | Wiley Series in Probability and Statistics |
Soggetto topico |
Parameter estimation
Regression analysis Bayesian statistical decision theory |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-44801-6
9786610448012 0-470-36055-0 0-471-77375-1 0-471-77374-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Theory of Preliminary Test and Stein-Type Estimation with Applications; Contents; List of Figures; List of Figures; List of Tables; List of Tables; Preface; 1 Introduction; 1.1.1 Batting averages of 18 players; 1.1 Display of predicted batting averages based on Stein's formula; 1.1 Objective of This Book; 1.2 Statistical Decision Principle; 1.3 Quadratic Loss Function; 1.4 Some Statistical Models with Preliminaries; 1.4.1 Mean and Simple Linear Models; 1.4.2 One-Sample Multivariate Model; 1.4.3 ANOVA Models; 1.4.4 Parallelism Models
1.4.5 Multiple Regression Model and General Linear Hypothesis1.4.6 Simple Multivariate Linear Model; 1.4.7 Discrete Data Models; 1.5 Organization of the Book; 1.6 Conclusions; 1.7 Problems; 2 Preliminaries; 2.1 Normal Distribution; 2.2 Chi-square Distribution and Properties; 2.3 Some Results from Multivariate Normal Theory; 2.4 Beta Distribution and Applications; 2.5 Discrete Distributions; 2.5.1 Binomial Distribution; 2.5.2 Multinomial Distribution; 2.6 Matrix Results; 2.7 Large Sample Theory; 2.7.1 Four Types of Convergence; 2.7.2 Law of Large Numbers; 2.7.3 Central Limit Theorems 2.8 Nonparametric Theory: Preliminaries2.8.1 Order-Statistics, Ranks, and Sign Statistics; 2.8.2 Linear rank-statistics (LRS); 2.8.3 Rank Estimators of the Parameters of Various Models; 2.9 Problems; 3 Preliminary Test Estimation; 3.1 Simple Linear Model, Estimators, and Tests; 3.1.1 Simple Linear Model; 3.1.2 Estimation of the Intercept and Slope Parameter; 3.1.3 Test for the Slope Parameter; 3.2 PTE of the Intercept Parameter; 3.2.1 UE, RE and PTE of the Intercept Parameter; 3.2.2 Bias and MSE Expressions; 3.2.3 Comparison of bias and mse functions 3.2.1 Graph of quadratic bias functions of the estimators3.2.4 Optimum Level of Significance of Preliminary Test; 3.2.2 Graph of MRE(tn; tn) and MRE(tPTn; tn); 3.2.1 Maximum and Minimum Guaranteed Efficiencies for n = 8; 3.2.2 Maximum and Minimum Guaranteed Efficiencies for n = 12 and x2/Q = 0.1(0.2)0.9; 3.3 Two-Sample Problem and Pooling of Means; 3.3.1 Model; 3.3.2 Estimation and Test of the Difference between Two Means; 3.3.3 Bias and mse Expression of the Three Estimators of a Mean; 3.3.1 Maximum and Minimum Guaranteed Efficiencies; 3.3.2 Maximum and Minimum Guaranteed Efficiencies 3.3.3 Maximum and Minimum Guaranteed Efficiencies3.4 One-Sample Problem: Estimation of Mean; 3.4.1 Model; 3.4.2 Unrestricted, Restricted, and Preliminary Test Estimators; 3.3.1 Graph of MRE (m1; m1) and MRE(mPT1; m1); 3.4.3 Bias, mse, and Analysis of Efficiency; 3.5 An Alternative Approach; 3.5.1 Introduction; 3.4.1 Minimum and Maximum Efficiency of PTE; 3.5.2 One-Sample Problem; 3.5.3 Comparison of PTE, tPTn and SE tSn; 3.5.1 Maximum and Minimum Efficiencies of SE and Efficiency of PTE at D0 for Selected a; 3.5.4 Simple Linear Model and Shrinkage Estimation 3.5.1 Graph of the relative efficiency of SE and PTE for different values of a |
Record Nr. | UNINA-9910143561703321 |
Saleh A. K. Md. Ehsanes
![]() |
||
Hoboken, NJ, : Wiley-Interscience, c2006 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Theory of preliminary test and Stein-type estimation with applications [[electronic resource] /] / A.K. Md. Ehsanes Saleh |
Autore | Saleh A. K. Md. Ehsanes |
Pubbl/distr/stampa | Hoboken, NJ, : Wiley-Interscience, c2006 |
Descrizione fisica | 1 online resource (656 p.) |
Disciplina |
519.5/44
519.544 |
Collana | Wiley Series in Probability and Statistics |
Soggetto topico |
Parameter estimation
Regression analysis Bayesian statistical decision theory |
ISBN |
1-280-44801-6
9786610448012 0-470-36055-0 0-471-77375-1 0-471-77374-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Theory of Preliminary Test and Stein-Type Estimation with Applications; Contents; List of Figures; List of Figures; List of Tables; List of Tables; Preface; 1 Introduction; 1.1.1 Batting averages of 18 players; 1.1 Display of predicted batting averages based on Stein's formula; 1.1 Objective of This Book; 1.2 Statistical Decision Principle; 1.3 Quadratic Loss Function; 1.4 Some Statistical Models with Preliminaries; 1.4.1 Mean and Simple Linear Models; 1.4.2 One-Sample Multivariate Model; 1.4.3 ANOVA Models; 1.4.4 Parallelism Models
1.4.5 Multiple Regression Model and General Linear Hypothesis1.4.6 Simple Multivariate Linear Model; 1.4.7 Discrete Data Models; 1.5 Organization of the Book; 1.6 Conclusions; 1.7 Problems; 2 Preliminaries; 2.1 Normal Distribution; 2.2 Chi-square Distribution and Properties; 2.3 Some Results from Multivariate Normal Theory; 2.4 Beta Distribution and Applications; 2.5 Discrete Distributions; 2.5.1 Binomial Distribution; 2.5.2 Multinomial Distribution; 2.6 Matrix Results; 2.7 Large Sample Theory; 2.7.1 Four Types of Convergence; 2.7.2 Law of Large Numbers; 2.7.3 Central Limit Theorems 2.8 Nonparametric Theory: Preliminaries2.8.1 Order-Statistics, Ranks, and Sign Statistics; 2.8.2 Linear rank-statistics (LRS); 2.8.3 Rank Estimators of the Parameters of Various Models; 2.9 Problems; 3 Preliminary Test Estimation; 3.1 Simple Linear Model, Estimators, and Tests; 3.1.1 Simple Linear Model; 3.1.2 Estimation of the Intercept and Slope Parameter; 3.1.3 Test for the Slope Parameter; 3.2 PTE of the Intercept Parameter; 3.2.1 UE, RE and PTE of the Intercept Parameter; 3.2.2 Bias and MSE Expressions; 3.2.3 Comparison of bias and mse functions 3.2.1 Graph of quadratic bias functions of the estimators3.2.4 Optimum Level of Significance of Preliminary Test; 3.2.2 Graph of MRE(tn; tn) and MRE(tPTn; tn); 3.2.1 Maximum and Minimum Guaranteed Efficiencies for n = 8; 3.2.2 Maximum and Minimum Guaranteed Efficiencies for n = 12 and x2/Q = 0.1(0.2)0.9; 3.3 Two-Sample Problem and Pooling of Means; 3.3.1 Model; 3.3.2 Estimation and Test of the Difference between Two Means; 3.3.3 Bias and mse Expression of the Three Estimators of a Mean; 3.3.1 Maximum and Minimum Guaranteed Efficiencies; 3.3.2 Maximum and Minimum Guaranteed Efficiencies 3.3.3 Maximum and Minimum Guaranteed Efficiencies3.4 One-Sample Problem: Estimation of Mean; 3.4.1 Model; 3.4.2 Unrestricted, Restricted, and Preliminary Test Estimators; 3.3.1 Graph of MRE (m1; m1) and MRE(mPT1; m1); 3.4.3 Bias, mse, and Analysis of Efficiency; 3.5 An Alternative Approach; 3.5.1 Introduction; 3.4.1 Minimum and Maximum Efficiency of PTE; 3.5.2 One-Sample Problem; 3.5.3 Comparison of PTE, tPTn and SE tSn; 3.5.1 Maximum and Minimum Efficiencies of SE and Efficiency of PTE at D0 for Selected a; 3.5.4 Simple Linear Model and Shrinkage Estimation 3.5.1 Graph of the relative efficiency of SE and PTE for different values of a |
Record Nr. | UNINA-9910830846303321 |
Saleh A. K. Md. Ehsanes
![]() |
||
Hoboken, NJ, : Wiley-Interscience, c2006 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Theory of preliminary test and Stein-type estimation with applications / / A.K. Md. Ehsanes Saleh |
Autore | Saleh A. K. Md. Ehsanes |
Pubbl/distr/stampa | Hoboken, NJ, : Wiley-Interscience, c2006 |
Descrizione fisica | 1 online resource (656 p.) |
Disciplina |
519.5/44
519.544 |
Collana | Wiley Series in Probability and Statistics |
Soggetto topico |
Parameter estimation
Regression analysis Bayesian statistical decision theory |
ISBN |
1-280-44801-6
9786610448012 0-470-36055-0 0-471-77375-1 0-471-77374-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Theory of Preliminary Test and Stein-Type Estimation with Applications; Contents; List of Figures; List of Figures; List of Tables; List of Tables; Preface; 1 Introduction; 1.1.1 Batting averages of 18 players; 1.1 Display of predicted batting averages based on Stein's formula; 1.1 Objective of This Book; 1.2 Statistical Decision Principle; 1.3 Quadratic Loss Function; 1.4 Some Statistical Models with Preliminaries; 1.4.1 Mean and Simple Linear Models; 1.4.2 One-Sample Multivariate Model; 1.4.3 ANOVA Models; 1.4.4 Parallelism Models
1.4.5 Multiple Regression Model and General Linear Hypothesis1.4.6 Simple Multivariate Linear Model; 1.4.7 Discrete Data Models; 1.5 Organization of the Book; 1.6 Conclusions; 1.7 Problems; 2 Preliminaries; 2.1 Normal Distribution; 2.2 Chi-square Distribution and Properties; 2.3 Some Results from Multivariate Normal Theory; 2.4 Beta Distribution and Applications; 2.5 Discrete Distributions; 2.5.1 Binomial Distribution; 2.5.2 Multinomial Distribution; 2.6 Matrix Results; 2.7 Large Sample Theory; 2.7.1 Four Types of Convergence; 2.7.2 Law of Large Numbers; 2.7.3 Central Limit Theorems 2.8 Nonparametric Theory: Preliminaries2.8.1 Order-Statistics, Ranks, and Sign Statistics; 2.8.2 Linear rank-statistics (LRS); 2.8.3 Rank Estimators of the Parameters of Various Models; 2.9 Problems; 3 Preliminary Test Estimation; 3.1 Simple Linear Model, Estimators, and Tests; 3.1.1 Simple Linear Model; 3.1.2 Estimation of the Intercept and Slope Parameter; 3.1.3 Test for the Slope Parameter; 3.2 PTE of the Intercept Parameter; 3.2.1 UE, RE and PTE of the Intercept Parameter; 3.2.2 Bias and MSE Expressions; 3.2.3 Comparison of bias and mse functions 3.2.1 Graph of quadratic bias functions of the estimators3.2.4 Optimum Level of Significance of Preliminary Test; 3.2.2 Graph of MRE(tn; tn) and MRE(tPTn; tn); 3.2.1 Maximum and Minimum Guaranteed Efficiencies for n = 8; 3.2.2 Maximum and Minimum Guaranteed Efficiencies for n = 12 and x2/Q = 0.1(0.2)0.9; 3.3 Two-Sample Problem and Pooling of Means; 3.3.1 Model; 3.3.2 Estimation and Test of the Difference between Two Means; 3.3.3 Bias and mse Expression of the Three Estimators of a Mean; 3.3.1 Maximum and Minimum Guaranteed Efficiencies; 3.3.2 Maximum and Minimum Guaranteed Efficiencies 3.3.3 Maximum and Minimum Guaranteed Efficiencies3.4 One-Sample Problem: Estimation of Mean; 3.4.1 Model; 3.4.2 Unrestricted, Restricted, and Preliminary Test Estimators; 3.3.1 Graph of MRE (m1; m1) and MRE(mPT1; m1); 3.4.3 Bias, mse, and Analysis of Efficiency; 3.5 An Alternative Approach; 3.5.1 Introduction; 3.4.1 Minimum and Maximum Efficiency of PTE; 3.5.2 One-Sample Problem; 3.5.3 Comparison of PTE, tPTn and SE tSn; 3.5.1 Maximum and Minimum Efficiencies of SE and Efficiency of PTE at D0 for Selected a; 3.5.4 Simple Linear Model and Shrinkage Estimation 3.5.1 Graph of the relative efficiency of SE and PTE for different values of a |
Record Nr. | UNINA-9910877778703321 |
Saleh A. K. Md. Ehsanes
![]() |
||
Hoboken, NJ, : Wiley-Interscience, c2006 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Theory of ridge regression estimators with applications / / A. K. Md. Ehsanes Saleh, M. Arashi, B. M. Golam Kibria |
Autore | Saleh A. K. Md. Ehsanes |
Edizione | [1st edition] |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2019 |
Descrizione fisica | 1 online resource (299 pages) |
Disciplina | 519.536 |
Collana | Wiley series in probability and statistics |
Soggetto topico | Ridge regression (Statistics) |
Soggetto genere / forma | Electronic books. |
ISBN |
1-118-64452-2
1-118-64450-6 1-118-64447-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction to ridge regression -- Location and simple linear models -- ANOVA model -- Seemingly unrelated simple linear models -- Multiple linear regression models -- Ridge regression in theory and applications -- Partially linear regression models -- Logistic regression model -- Regression models with autoregressive errors -- Rank-based shrinkage estimation -- High dimensional ridge regression -- Applications : neural networks and big data. |
Record Nr. | UNINA-9910555053003321 |
Saleh A. K. Md. Ehsanes
![]() |
||
Hoboken, New Jersey : , : Wiley, , 2019 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Theory of ridge regression estimators with applications / / A. K. Md. Ehsanes Saleh, M. Arashi, B. M. Golam Kibria |
Autore | Saleh A. K. Md. Ehsanes |
Edizione | [1st edition] |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2019 |
Descrizione fisica | 1 online resource (299 pages) |
Disciplina | 519.536 |
Collana | Wiley series in probability and statistics |
Soggetto topico | Ridge regression (Statistics) |
ISBN |
1-118-64452-2
1-118-64450-6 1-118-64447-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction to ridge regression -- Location and simple linear models -- ANOVA model -- Seemingly unrelated simple linear models -- Multiple linear regression models -- Ridge regression in theory and applications -- Partially linear regression models -- Logistic regression model -- Regression models with autoregressive errors -- Rank-based shrinkage estimation -- High dimensional ridge regression -- Applications : neural networks and big data. |
Record Nr. | UNINA-9910830180503321 |
Saleh A. K. Md. Ehsanes
![]() |
||
Hoboken, New Jersey : , : Wiley, , 2019 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|