All of Statistics A Concise Course in Statistical Inference
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This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the…
Copyright year: 2004
Publication date: 9/17/2004
Size: 6.25" wide x 9.25" long x 1.00" tall
|Convergence of Random Variables|
|Models, Statistical Inference and Learning|
|Estimating the CDF and Statistical Functionals|
|Hypothesis Testing and p-values|
|Statistical Decision Theory|
|Linear and Logistic Regression|
|Inference about Independence|
|Directed Graphs and Conditional Independence|
|Nonparametric Curve Estimation|
|Smoothing Using Orthogonal Functions|
|Probability Redux: Stochastic Processes|