Introduction to Statistical Thought (Michael Lavine)

0.0 (0)
Introduction to Statistical Thought (Michael Lavine)

The book is meant to serve as an upper-level undergraduate or introductory graduate textbook in statistical thinking with a likelihood emphasis on students with a solid understanding of calculus and the capacity to think abstractly.

By "statistical thinking," we imply an emphasis on concepts that matter to statisticians rather than the specifics of how to implement those concepts. Though they are not the main subject, the book does offer technical specifics. It is intended by "likelihood focus" that the probability function and likelihood principle serve as the text's overarching concepts.

The employment of statistical software as a teaching tool is another peculiar feature. To put it another way, the book employs computer modeling and calculation as another means to explain and help readers comprehend the underlying principles, rather than only seeing the computer as a practical and accurate calculating equipment.

R, a statistical language, is used extensively throughout the text.

Ebook Details

About the Authors
Michael Lavine is a Professor of Statistics at the University of Massachusetts Amherst.
Published Date / Year
(September 24, 2009); eBook (Updated, February 21, 2013)
434 pages
eBook Format
PDF, 475 page, 40.1 MB

Similar Programming & Computer Books

Introduction à la programmation en R - Introduction to R programming (Vincent Goulet)
The R system has experienced amazing growth in terms of its features, the breadth of its application areas, or, more simply, the number of its users for more than...
Introduction à l'analyse d'enquête avec R et RStudio - Introduction to survey analysis with R and RStudio (Jospeh Lamarange, et al)
Analyze-main R's objective is to demonstrate how to use R to carry out statistical analysis and many common operations (such as modifying data or creating graphs). The various chapters...
Strategic Foundations of General Equilibrium: Dynamic Matching and Bargaining Games (Douglas Gale)
Since Adam Smith's day, the theory of competition has played a significant role in economic study. This book, published by one of the most eminent modern economic theorists, details...
The Pure Logic Of Choice (Richard D. Fuerle)
A broad theory of economics based on free will is presented in this free programming book. The assumption that humans have free will and the ability to alter physical...
Portfolio Theory and Financial Analyses (Robert Alan Hill)
Whether they involve calculating the return on a portfolio, analyzing portfolio risk, or assessing the effectiveness of the portfolio management process, this free programming book links each of the...
Price Theory: An Intermediate Text (David D. Friedman)
In order to help the reader grasp the economic way of thinking, the author first gives verbal, intuitive explanations of the topics before using graphs and/or calculus to illustrate...
Mathematical Models in Portfolio Analysis (Farida Kachapova)
This free programming book presents the mathematical theory of portfolio modeling in financial mathematics as a coherent whole, with justifications for each step. ...
Stochastic Calculus and Finance (Steven E. Shreve)
The first 10 years of the Carnegie Mellon Professional Master program in Computational Finance led to the development of stochastic calculus for finance. Students with calculus and probability based...
Math for Trades: Volume 1 (Chad Flinn, et al.)
The foundational elements for learning math are presented in this volume. Whole numbers, fractions, decimals, and percents are all included in the book. ...
Multimedia Fingerprinting Forensics for Traitor Tracing (K. J. Ray Liu, et al)
The widespread dissemination and consumption of digital multimedia data is a result of the appeal of multimedia content.

Others Programming Books by Orange Grove Texts Plus

Reading Music: Common Notation (Catherine Schmidt-Jones)
It takes knowledge and talent to read music. In other words, you need to practice performing it as well as comprehending how it works. It will take some time...
From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science (Norm Matloff)
This textbook is intended for computer science students taking a course on mathematical probability and statistics. Throughout, examples of computer science are employed in fields like computer networks, data...
Programming Fundamentals: A Modular Structured Approach Using C++ (Kenneth L. Busbee)
This book serves as an introduction to computer programming using C++ as the programming language, as well as to sound, and basic programming concepts, such as creating structured programs,...

User reviews

There are no user reviews for this listing.
Rate this Book