Rank-Based Methods for Shrinkage and Selection. A. K. Md. Ehsanes Saleh

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4Table 4.1 Table of (hypothetical) corn crop yield from six different fertilizers.Table 4.2 Table of p-values from pairwise comparisons of fertilizers.

      5 Chapter 8Table 8.1 The VIF values of the diabetes data set.Table 8.2 Estimations for the diabetes data^*. (The numbers in parentheses are the corresponding standard errors).

      6 Chapter 11Table 11.1 LLR algorithm.Table 11.2 RLR algorithm.Table 11.3 Car data set.Table 11.4 Ridge accuracy vs. λ₂ with n = 337 (six outliers).Table 11.5 RLR-LASSO estimates vs. λ₁ with number of correct predictions.Table 11.6 Sample of Titanic training data.Table 11.7 Specifications for the Titanic data set.Table 11.8 Number of actual data entries in each column.Table 11.9 Cross-tabulation of survivors based on sex.Table 11.10 Cross-tabulation using Embarked for the Titanic data set.Table 11.11 Sample of Titanic numerical training data.Table 11.12 Number of correct predictions for Titanic training and test sets.Table 11.13 Train/test set accuracy for LLR-ridge. Optimal value at (*).Table 11.14 Train/test set accuracy for RLR-ridge. Optimal value at (*).Table 11.15 Train/Test set accuracy for LLR-LASSO. Optimal value at (*).Table 11.16 Train/test set accuracy for RLR-LASSO. Optimal value at (*).

      7 Chapter 12Table 12.1 RNN-ridge algorithm.Table 12.2 Interpretation of the confusion matrix.Table 12.3 Confusion matrix for Titanic data sets using RLR...Table 12.4 Number of correct predictions (percentages) and AUROC of LNN-ridge.Table 12.5 Input (x_ij), output (y_i) and predicted values p~(x_i) for the image classification problem.Table 12.6 Confusion matrices for RNNs and LNNs (test size = 35).Table 12.7 Accuracy metrics for RNNs vs. LNNs (test size = 35).Table 12.8 Train/test set accuracy for LNNs. F₁ score is associated with the test set.Table 12.9 Train/test set accuracy for RNNs. F₁ score is associated with the test set.Table 12.10 Confusion matrices for RNNs and LNNs (test size = 700).Table 12.11 Accuracy metrics for RNNs vs. LNNs (test size = 700).Table 12.12 MNIST training with 0 outliers.Table 12.13 MNIST training with 90 outliers.Table 12.14 MNIST training with 180 outliers.Table 12.15 MNIST training with 270 outliers.Table 12.16 Table of responses and probability outputs.

      Guide

      1  Cover

      2  Title page

      3  Copyright

      4  Dedication

      5  List of Figures

      6 Table of Contents

      7  List of Figures

      8  List of Tables

      9  Foreword

      10  Preface

      11  Begin Reading

      12  Bibliography

      13  Author Index

      14  Subject Index

      15  End User License Agreement

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