A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today's more powerful statistical algorithms. It emphasizes recurring themes in all statistical

chapter 1|8 pages

- Introduction

chapter 2|78 pages

- Computation

chapter 3|50 pages

- Verification

chapter 4|106 pages

- Iteration

chapter 5|26 pages

- Deduction of Theoretical Properties

chapter 6|86 pages

- Randomization

chapter 7|56 pages

- Repetition

chapter 8|38 pages

- Scalability and Parallelization