Regression Analysis and its Application (ePub)
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Providing a better understanding of classical regression analysis, this book bridges the gap between the purely theoretical coverage of regression analysis and its practical application. It presents regression analysis in the general context of data analysis. Using a teach-by-example format, the text contains ten major data sets along with several smaller ones to illustrate the common characteristics of regression data and properties of statistics that are employed in regression analysis. The book covers model misspecification, residual analysis, multicollinearity, biased regression estimators, data collection, model assumptions, and the interpretation of parameter estimates.
Robert L. Mason is Institute Analyst at Southwest Research Instituteâ in San Antonio, Texas. He received his Ph.D. (1971) in mathematical statistics from Southern Methodist University. He is a nationally known industrial statistician and has had a distinguished career in statistics. He also is an Adjunct Professor in Statistics at the University of Texas at San Antonio. His major work experience has been in applying statistical methods to solve data analysis and experimental design problems for commercial and government clients in the engineering and physical sciences. He is the co-author of five books in statistical design, data analysis, and process control, and has published over 100 papers in refereed statistical and scie
- Autoren: Richard F. Gunst , Robert L. Mason
- 2018, 424 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1351419293
- ISBN-13: 9781351419291
- Erscheinungsdatum: 27.04.2018
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 20 MB
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