PROOFS OF THEOREMS AND STATISTICAL DATA USED IN THE BOOK - ScienceDirectELSEVIERLinear Regression and its Application to Economics
Information Philosopher is dedicated to the new Information Philosophy, with explanations for Freedom, Values, and Knowledge.
Powell solidifies the subject by generalizing its application and by providing multiple proofs with different levels of sophistications. It is therefore not an easy book, but it is very readable, thanks to many excellent examples of applications of the concepts. 3 people found this helpful ...
《The Nature of Statistical Learning Theory》作者:Springer,出版社:1999年11月,ISBN:。Theaimofthisbookistodiscussthefundamentalideaswhic
A simple solution is to teach the fundamental ideas of statistical hypothesis testing without using too much mathematics. This book provides a non-mathematical, simulation-based introduction to basic statistical concepts and encourages readers to try out the simulations themselves using the source code...
This book describes all the steps of quantitative modeling, including statistical properties of returns, factor model, portfolio management, and more. The inclusion of each topic is determined by real-world applicability. Divided into three parts, each corresponding to a phase of the investment ...
Include your main findings, providing specific effect sizes and their statistical significance, if possible, and your principal conclusions. Emphasize new and important aspects of your study or observations. Keywords You are required to provide 1 to 7 keywords for indexing purposes. Keywords should be...
The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the...
The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the...
The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the...