Logo

Mathematical Statistics by Henry Lewis Rietz

Large book cover: Mathematical Statistics

Mathematical Statistics
by

Publisher: Open Court Pub. Co
ISBN/ASIN: B0027ZVZ3W
Number of pages: 208

Description:
The present monograph will accomplish its main purpose if it makes a slight contribution toward shifting the emphasis and point of view in the study of statistics in the direction of the consideration of the underlying theory involved in certain highly important methods of statistical analysis, and if it introduces some of the recent advances in mathematical statistics to a wider range of readers.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Similar books

Book cover: Using R for Introductory StatisticsUsing R for Introductory Statistics
by - Chapman & Hall/CRC
A self-contained treatment of statistical topics and the intricacies of the R software. The book focuses on exploratory data analysis, includes chapters on simulation and linear models. It lays the foundation for further study and development using R.
(24458 views)
Book cover: Revealing Statistical PrinciplesRevealing Statistical Principles
by - Hodder Education Publishers
Written by a renowned statistician, this book presents the basic ideas behind the statistical methods commonly used in studies of human subjects. It is an ideal guide for advanced undergraduates who are beginning to do their own research.
(8693 views)
Book cover: Statistical Inference for EveryoneStatistical Inference for Everyone
by - Save The Broccoli Publishing
This is a new approach to an introductory statistical inference textbook, motivated by probability theory as logic. It is targeted to the typical Statistics 101 college student, and covers the topics typically covered in the first semester.
(7577 views)
Book cover: Computer Age Statistical Inference: Algorithms, Evidence, and Data ScienceComputer Age Statistical Inference: Algorithms, Evidence, and Data Science
by - Stanford University
Beginning with classical inferential theories, the book takes up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, etc.
(4719 views)