Free Downloads

All Of Statistics: A Concise Course In Statistical Inference (Springer Texts In Statistics) File Size: 8329 KB

Print Length: 442 pages

Publisher: Springer (December 11, 2013)

Publication Date: December 11, 2013

Sold by: Digital Services LLC

Language: English

ASIN: B00HWUVSJS

Text-to-Speech: Enabled

X-Ray: Not Enabled

Word Wise: Not Enabled

Lending: Not Enabled

Enhanced Typesetting: Not Enabled

Best Sellers Rank: #329,990 Paid in Kindle Store (See Top 100 Paid in Kindle Store) #22 in Kindle Store > Kindle eBooks > Nonfiction > Science > Mathematics > Popular & Elementary > Counting & Numeration #86 in Books > Science & Math > Mathematics > Popular & Elementary > Counting & Numeration #285 in Kindle Store > Kindle eBooks > Nonfiction > Science > Mathematics > Applied > Probability & Statistics

This book is essentially a summary of the major theoretical topics in statistics, at an introductory level. The focus is on theory, not on data analysis or modeling, but there are more connections to data analysis and modeling than is typical among books on the same topics. The main flaw in this book is not that it does anything poorly, but rather, that it omits a lot.The book is very balanced in its coverage of different topics, its discussion of the frequentist vs. Bayesian paradigm, etc. It mentions parametric and nonparametric inference, including hypothesis testing, point estimation, Bayesian inference, decision theory, regression, and even two different approaches to causal inference. The book also paints a fairly whole picture of how the different topics relate to each other and fit into a unified theoretical framework. Another huge strength of this book is that it always omits unnecessary technical details, including only streamlined discussions highlighting essential points.The main weakness of this book is that certain topics are only brushed upon and not adequately explained. The first two chapters are deep enough for students to get a more or less complete understanding of the important ideas (assuming they do the exercises). But, for example, the 4th chapter covering inequalities is simply a collection of equations and formulas: the text explains how to use them, but not where they come from or what their intuitive interpretation is. This problem arises throughout the book but it is most evident in chapter 4. I want to remark, however, that this problem is widespread in statistics textbooks, and this book is still less lacking in this respect than is common among typical texts.I'm not sure this book makes the best textbook.

All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics) Statistical Inference Based on Divergence Measures (Statistics: A Series of Textbooks and Monographs) Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics) Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics) Statistics for People Who (Think They) Hate Statistics (Salkind, Statistics for People Who(Think They Hate Statistics(Without CD)) An Introduction to Probability and Statistical Inference, Second Edition Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics) Concise Guide to Child and Adolescent Psychiatry (CONCISE GUIDES) (Concise Guides (American Psychiatric Press)) Graphics for Statistics and Data Analysis with R (Chapman & Hall/CRC Texts in Statistical Science) Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction Modeling Longitudinal Data (Springer Texts in Statistics) Chance Encounters: A First Course in Data Analysis and Inference Books of Breathing and Related Texts -Late Egyptian Religious Texts in the British Museum Vol.1 (Catalogue of the Books of the Dead and Other Religious Texts in the British Museum) Elementary Stochastic Calculus With Finance in View (Advanced Series on Statistical Science & Applied Probability, Vol 6) (Advanced Series on Statistical Science and Applied Probability) Thermodynamics With Quantum Statistical Illustrations. Monographs in Statistical Physics and Thermodynamics, Volume 2 Python: PYTHON CRASH COURSE - Beginner's Course To Learn The Basics Of Python Programming In 24 Hours!: (Python, Python Programming, Python for Dummies, Python for Beginners, python crash course) Linear Models with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) Introduction to Probability (Chapman & Hall/CRC Texts in Statistical Science) Stochastic Processes: An Introduction, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) Modeling and Analysis of Stochastic Systems, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)