Essentials of Inferential Statistics
Seiten
2008
|
5th edition
University Press of America (Verlag)
978-0-7618-4451-8 (ISBN)
University Press of America (Verlag)
978-0-7618-4451-8 (ISBN)
This fifth edition is appropriate for a one semester general course in Applied Statistics or as a reference book for practicing researchers in a wide variety of disciplines, including medicine, health and human services, natural and social sciences, law, and engineering.
This fifth edition of a classic text is appropriate for a one semester general course in Applied Statistics or as a reference book for practicing researchers in a wide variety of disciplines, including medicine, health and human services, natural and social sciences, law, and engineering. This practical book describes the Bayesian principles necessary for applied clinical research and strategic interaction, which are frequently omitted in other texts.
After a comprehensive treatment of probability theory concepts, theorems, and some basic proofs, this concisely written text illustrates sampling distributions and their importance in estimation for the purpose of statistical inference. The book then shifts its focus to the essentials associated with confidence intervals and hypothesis testing for major population parameters; namely, the population mean, population variance, and population proportion. In addition, it thoroughly describes the properties of expectations and variance, the basics of correlation and simple linear regression, as well as non-parametric statistics.
This fifth edition of a classic text is appropriate for a one semester general course in Applied Statistics or as a reference book for practicing researchers in a wide variety of disciplines, including medicine, health and human services, natural and social sciences, law, and engineering. This practical book describes the Bayesian principles necessary for applied clinical research and strategic interaction, which are frequently omitted in other texts.
After a comprehensive treatment of probability theory concepts, theorems, and some basic proofs, this concisely written text illustrates sampling distributions and their importance in estimation for the purpose of statistical inference. The book then shifts its focus to the essentials associated with confidence intervals and hypothesis testing for major population parameters; namely, the population mean, population variance, and population proportion. In addition, it thoroughly describes the properties of expectations and variance, the basics of correlation and simple linear regression, as well as non-parametric statistics.
Malcolm O. Asadoorian III, Ph.D, is Associate Professor of Economics at Lynn University and a Research Affiliate at the Massachusetts Institute of Technology (MIT) Joint Program on the Science and Policy of Global Change. Demetri Kantarelis, Ph.D., is Professor of Economics at Assumption College.
Chapter 1 Basic Definitions and Introduction to Probability
Chapter 2 Probability Distributions, Summary Measures, and Graphs
Chapter 3 Sampling Distributions and Interval Estimation
Chapter 4 Hypothesis Testing
Chapter 5 Correlation and Linear Regression
Chapter 6 Nonparametric Tests
| Erscheint lt. Verlag | 17.2.2009 |
|---|---|
| Verlagsort | Lanham, MD |
| Sprache | englisch |
| Maße | 154 x 232 mm |
| Gewicht | 451 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
| Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie | |
| ISBN-10 | 0-7618-4451-1 / 0761844511 |
| ISBN-13 | 978-0-7618-4451-8 / 9780761844518 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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