Introduction to Linear Models and Statistical Inference
β Scribed by Steven J. Janke, Frederick Tinsley,
- Year
- 2005
- Tongue
- English
- Leaves
- 592
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<p><span>The complexity of large-scale data sets (βBig Dataβ) has stimulated the development of advanced <br>computational methods for analysing them. There are two different kinds of methods to aid this. The <br>model-based method uses probability models and likelihood and Bayesian theory, while th
<span>Part of The SAGE Quantitative Research Kit, this text helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. Peter Martin covers both the theory and appl
<DIV><DIV>Excellent text emphasizes inferential and decision-making statistics. Discusses calculus of probability, sampling procedures, bivariate problems, much more. Problems. Answers.</DIV></DIV>
This excellent text emphasizes the inferential and decision-making aspects of statistics. The first chapter is mainly concerned with the elements of the calculus of probability. The second chapter contains the essential statistical techniques of summarizing the data in a sample prior to making infer