An Introduction to Statistics for Canadi
โ Michael Haan & Jenny Godley
๐ Library
๐
2016
๐ Oxford University Press
๐ English
โฆ LIBER โฆ
๐
Introduction to Statistical Ideas for Social Scientists
โ Scribed by Graham Kalton
- Publisher
- Chapman & Hall
- Year
- 1969
- Tongue
- English
- Leaves
- 72
- Edition
- Reprint
- Category
- Library
โฌ Acquire This Volume
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Introduction to Applied Bayesian Statist
โ Scott M. Lynch
๐ Library
๐
2007
๐ Springer
๐ English
"Introduction to Applied Bayesian Statistics and Estimation for Social Scientists' covers the complete process of Bayesian statistical analysis in great detail from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models t
Introduction to applied Bayesian statist
โ Scott M. Lynch
๐ Library
๐
2007
๐ Springer
๐ English
Introduction to Applied Bayesian Statist
โ Scott M. Lynch
๐ Library
๐
2007
๐ Springer
๐ English
Dr. Scott Lynch has made a great job for those (like me) who want a clear introduction to the methods of bayesian data analysis. I hold a Ph.D. in plant breeding, and as many others, I was trained in the traditional frequentist approach for the analysis of experiments: linear regression, ANOVA and u
Beginning Statistics: An Introduction fo
โ Ian Diamond, Julie Jefferies
๐ Library
๐
2001
๐ SAGE Publications Ltd
๐ English
With an emphasis on description, examples, graphs and displays rather than statistical formulae, this book is the ideal introductory guide for students across the social sciences. It shows how all students can understand the basic ideas of statistics at a level appropriate with being a good social s
Introduction to Statistics for Forensic
โ David Lucy
๐ Library
๐
2006
๐ Wiley
๐ English
<b>Introduction to Statistics for Forensic Scientists is an essential introduction to the subject, gently guiding the reader through the key statistical techniques used to evaluate various types of forensic evidence. Assuming only a modest mathematical background, the book uses real-life examples f