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Introductory regression analysis : with computer application for business and economics /
Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues. Every day, decision-makers face problems that require constructive actions with significant consequences, and regression procedures can prove a meaningful and v...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
Taylor and Francis,
2013.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
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| 020 | |a 1136593101 |q (electronic bk.) | ||
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| 100 | 1 | |a Webster, Allen. | |
| 245 | 1 | 0 | |a Introductory regression analysis : |b with computer application for business and economics / |c Allen Webster. |
| 260 | |a Hoboken : |b Taylor and Francis, |c 2013. | ||
| 300 | |a 1 online resource (487 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; INTRODUCTORY REGRESSION ANALYSIS; Title Page; Copyright Page; Table of Contents; Preface; Chapter 1: A Review of Basic Concepts; Introduction; 1.1 The Importance of Making Systematic Decisions; 1.2 The Process of Statistical Analysis; Data Collection; Organizing the Data; Analyzing the Data; Interpreting the Results; Prediction and Forecasting; 1.3 Our "Arabic" Number System; 1.4 Some Basic Definitions; Populations and Samples; Sampling Error; Sources of Sampling Error: Sampling Bias and Plain Bad Luck; A Sampling Distribution; Types of Variables | |
| 505 | 8 | |a 1.5 Levels of Data Measurement Nominal Data; Ordinal Data; Interval Data; Ratio Data; 1.6 Properties of Good Estimators; A Good Estimator Is Unbiased; A Good Estimator Is Efficient; A Good Estimator Is Consistent; A Good Estimator Is Sufficient; 1.7 Other Considerations; 1.8 Probability Distributions; 1.9 The Development and Application of Models; 1.10 "In God We Trust-Everybody Else Has to Bring Data"; Chapter Problems; Appendix: Excel Commands and Common Probability Distributions; The Normal Distribution; Student's t-Distribution; The F-Distribution | |
| 505 | 8 | |a The Chi-Square DistributionChapter 2: An Introduction to Regression and Correlation Analysis; Introduction; 2.1 The Simple Regression Model; 2.2 Estimating the Model: Ordinary Least Squares; Multiple Regression: A Look Ahead; Calculating the Residuals; 2.3 Why the Process Is Called Ordinary Least Squares; 2.4 Properties and Assumptions of the OLS Model; 2.5 The Gauss-Markov Theorem; 2.6 Measures of Goodness of Fit; The Standard Error of the Estimate; The Coefficient of Determination; How r2 Can Be Used as a Measure of Goodness of Fit; 2.7 Limitations of Regression and Correlation | |
| 520 | |a Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues. Every day, decision-makers face problems that require constructive actions with significant consequences, and regression procedures can prove a meaningful and valuable asset in the decision-making process. This text is designed to help students achieve a full understanding of regression and the many ways it can be used.Taking into consideration current statistical technology, Introductory Regression Analysis focuses on the use and interpretation. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Commercial statistics. | |
| 650 | 0 | |a Economics |x Statistical methods. | |
| 650 | 0 | |a Regression analysis. | |
| 650 | 6 | |a Économie politique |x Méthodes statistiques. | |
| 650 | 6 | |a Analyse de régression. | |
| 650 | 7 | |a SCIENCE |x Research & Methodology. |2 bisacsh | |
| 650 | 7 | |a Commercial statistics |2 fast | |
| 650 | 7 | |a Economics |x Statistical methods |2 fast | |
| 650 | 7 | |a Regression analysis |2 fast | |
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| 776 | 0 | 8 | |i Print version: |a Webster, Allen. |t Introductory Regression Analysis With Computer Applications. |d Hoboken : Taylor and Francis, ©2013 |z 9780415899321 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1143718 |z Texto completo |
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