7 edition of **Sense and Nonsense of Statistical Inference (Popular Statistics)** found in the catalog.

- 20 Want to read
- 25 Currently reading

Published
**December 16, 1992**
by CRC
.

Written in English

- Probability & statistics,
- Social research & statistics,
- Science,
- Scientific Methodology And Research,
- Mathematics,
- Science/Mathematics,
- Statistical methods,
- Probability & Statistics - General,
- Quality Control,
- Research & Methodology,
- Technology / Quality Control,
- Philosophy,
- Mathematical Statistics

The Physical Object | |
---|---|

Format | Hardcover |

Number of Pages | 264 |

ID Numbers | |

Open Library | OL8160540M |

ISBN 10 | 0824787986 |

ISBN 10 | 9780824787981 |

So previous responses have clearly made the distinction between statistical and practical significance. The book Sense and Nonsense of Statistical Inference. The best book I have ever read. This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts/10().

Statistical Inference is a text that is ideally suited for students in their first year of graduate studies who have a firm footing in their understanding of mathematical concepts. The text builds on the basic theories of probability, using definitions, techniques, and concepts which are statistical and naturally extend from previous concepts/5(). Key Idea: Statistical methods can be used to tell us whether researcher intervention is a reasonable explanation for changes in a response. Chapter 1: Introduction to Statistical Inference: One Proportion. Sense and Nonsense of Statistical Inference: Controversy, Misuse, The central theme of this book is that statistical inference, if used improp-erly, can do more harm than good to the course of science. Accordingly, the book is written for the following audiences: 1. Graduate 5/5(1).

semiparametric inference. These powerful research techniques are surpris-ingly useful for studying large sample properties of statistical estimates from realistically complex models as well as for developing new and im-proved approaches to statistical inference. This book is more a textbook than a researchmonograph,althoughsomeFile Size: 1MB. As Efron and Hastie stated in their new book “Computer-Age Statistical Inference: Algorithms, Evidence, and Data Science”: In extreme cases, Author: Ceshine Lee. This unified treatment of probability and statistics examines discrete and continuous models, functions of random variables and random vectors, large-sample theory, general methods of point and interval estimation and testing hypotheses, plus analysis of data and variance. Hundreds of problems (some with solutions), examples, and diagrams. edition.5/5(1).

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SyntaxTextGen not activatedPdf Hall, KarimaSusi, pdf Handbook of Clinical Neurology, Statistical inference. Statistical inference refers to the process of drawing conclusions from the model estimation.

When computing the GLM, a β value is estimated for each regressor (i.e., column in the design matrix). β values can be used to compare regressors and compute activation maps by creating t statistics and.Developing a New Method for Psychological Investigation Using Text as Data; Do the Math!: On Growth, Greed, and Strategic Thinking; Examining the Determinants of the Ethical Decision-Making Process of Accounting Professionals Using Inferential Statistics.Statistical Inference by Casella is without doubt a classic ebook it comes to statistical theory.

Whether you're an undergraduate or postgraduate, if you're covering statistical theory, this is the book for you. The explanations and definitions are succinct without leaving out any of the important stuff.4/5(64).