Principles Of Statistical Analysis
Download Principles Of Statistical Analysis PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Principles Of Statistical Analysis book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Principles of Statistical Data Handling
This volume demonstrates how to input, manipulate and debug data to make substantive analysis easier and more accurate. Using a series of principles, universal concepts that apply no matter what the data-gathering context or computer software, Fred Davidson presents a situation or a problem, suggests how it might be resolved and demonstrates the implementation of each principle as it appears in the command languages of SAS and SPSS.
Principles of Statistical Analysis
Author: Ery Arias-Castro
language: en
Publisher: Cambridge University Press
Release Date: 2022-08-25
This concise course in data analysis and inference for the mathematically literate builds on survey sampling and designed experiments.
Principles of Statistical Inference
Author: D. R. Cox
language: en
Publisher: Cambridge University Press
Release Date: 2006-08-10
In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to statistical thought, no one is better placed to give this much-needed account of the field. An appendix gives a more personal assessment of the merits of different ideas. The content ranges from the traditional to the contemporary. While specific applications are not treated, the book is strongly motivated by applications across the sciences and associated technologies. The mathematics is kept as elementary as feasible, though previous knowledge of statistics is assumed. The book will be valued by every user or student of statistics who is serious about understanding the uncertainty inherent in conclusions from statistical analyses.