Statistical Inference By Casella And Berger
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Statistical Inference
Casella and Berger's new edition builds the theoretical statistics from the first principals of probability theory. Thoroughly and completely, the authors start with the basics of probability and then move on to develop the theory of statistical inference using techniques, definitions, and statistical concepts.
Probability Theory and Statistical Inference
Author: Aris Spanos
language: en
Publisher: Cambridge University Press
Release Date: 2019-09-19
This empirical research methods course enables informed implementation of statistical procedures, giving rise to trustworthy evidence.
Scan Statistics
Author: Joseph Glaz
language: en
Publisher: Springer Science & Business Media
Release Date: 2001-08-09
In many statistical applications the scientists have to analyze the occurrence of observed clusters of events in time or space. The scientists are especially interested to determine whether an observed cluster of events has occurred by chance if it is assumed that the events are distributed independently and uniformly over time or space. Applications of scan statistics have been recorded in many areas of science and technology including: geology, geography, medicine, minefield detection, molecular biology, photography, quality control and reliability theory and radio-optics.