STATISTICS

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MCQ 16.1 An orderly set of data arranged in accordance with their time of occurrence is called: (a) Arithmetic series (b) Harmonic series (c) Geometric series (d) Time series MCQ 16.2 A time series consists of: (a) Short-term variations (b) Long-term variations (c) Irregular variations (d) All of the above MCQ 16.3 The graph of time series is called: (a) Histogram (b) Straight line (c) Historigram (d) Ogive MCQ 16.4 Secular trend can be measured by: (a) Two methods (b) Three methods (...

Table of Contents Preface ......................................................................................................................ix Acknowledgment ................................................................................................ xiii About the Editors ..................................................................................................xv Authors’ Disclosures ......................................................................................... ...

CONTENTS PREFACE xxi ACKNOWLEDGMENTS xxix PART I DATA PREPARATION 1 CHAPTER 1 AN INTRODUCTION TO DATA MINING AND PREDICTIVE ANALYTICS 3 1.1 What is Data Mining? What is Predictive Analytics? 3 1.2 Wanted: Data Miners 5 1.3 The Need for Human Direction of Data Mining 6 1.4 The Cross-Industry Standard Process for Data Mining: CRISP-DM 6 1.4.1 CRISP-DM: The Six Phases 7 1.5 Fallacies of Data Mining 9 1.6 What Tasks Can Data Mining Accomplish 10 1.6.1 Description 10 1.6.2 Estimation 1...

Preface xix About the Companion Website xxxiii 1 Preliminary Considerations 1 1.1 The Philosophical Bases of Knowledge: Rationalistic versus Empiricist Pursuits, 1 1.2 What is a “Model”?, 4 1.3 Social Sciences versus Hard Sciences, 6 1.4 Is Complexity a Good Depiction of Reality? Are Multivariate Methods Useful?, 8 1.5 Causality, 9 1.6 The Nature of Mathematics: Mathematics as a Representation of Concepts, 10 1.7 As a Social Scientist, How Much Mathematics Do You Need to ...

Contents 2.4 BasicMatrixOperations . . . . . . . . . . . . . . . . . . . . . . . . . . 25 a. Equality, Addition, and Multiplication of Matrices . . . . . . . . . . . 26 b. Matrix Transposition . . . . . . . . . . . . . . . . . . . . . . . . . . 28 c. Some Special Matrices . . . . . . . . . . . . . . . . . . . . . . . . . 29 d. Trace and the Euclidean Matrix Norm . . . . . . . . . . . . . . . . . 30 e. Kronecker and Hadamard Products . . . . . . . . . . . . . . . . . . . 32 f. DirectSums ....

Contents 1 First steps in the analysis of functional data 1 1.1 Basis expansions . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Sample mean and covariance . . . . . . . . . . . . . . . . . . 6 1.3 Principal component functions . . . . . . . . . . . . . . . . . 10 1.4 Analysis of BOA stock returns . . . . . . . . . . . . . . . . . 11 1.5 Diusion tensor imaging . . . . . . . . . . . . . . . . . . . . 14 1.6 Chapter 1 problems . . . . . . . . . . . . . . . . . . . . . . . 17 2 Fur...

The questions are in bold followed by answers. 1. In Table 1, identify the level of measurement for the current therapy variable. Provide a rationale for your answer. Answer: The current therapy variable was measured at the nominal level. These drug categories were probably developed to be exhaustive for this study and included the categories of drugs the subjects were receiving. However, the categories are not exclusive, since patients are usually on more than one category of these drugs ...