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Spline Regression Models (Quantitative Applications in the Social Sciences) - Softcover

Buch 100 von 194: Quantitative Applications in the Social Sciences

Marsh, Lawrence C.; Cormier, David R.

 
9780761924203: Spline Regression Models (Quantitative Applications in the Social Sciences)
Softcover
ISBN 10: 0761924205 ISBN 13: 9780761924203
Verlag: SAGE Publications, Inc, 2001

Inhaltsangabe

Spline Regression Models

shows the nuts-and-bolts of using dummy variables to formulate and estimate various spline regression models. For some researchers this will involve situations where the number and location of the spline knots are known in advance, while others will need to determine the number and location of spline knots as part of the estimation process. Through the use of a number of straightforward examples, the authors will show readers how to work with both types of spline knot situations as well as offering practical, down-to-earth information on estimating splines.

 

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Über die Autorin bzw. den Autor

Lawrence C. Marsh is a professor emeritus in economics at the University of Notre Dame, where he taught statistics and graduate econometrics for 30 years, and served as visiting professor in psychology at Avila University in Kansas City, MO, where he taught statistics and research methods. He also taught applied regression analysis in the MBA program at the University of Chicago's Booth School of Business in 2010. He served as director of Notre Dame's PhD program in economics for 13 years and has served on over 80 PhD dissertation committees. He served as statistical design strategist and head of analytics for Internet company Adknowledge. He has published hundreds of articles in professional journals including Journal of Econometrics, Marketing Science, Statistics in Medicine, as well as book chapters and books, including the SAGE book: Spline Regression Models in 2002 (Chinese edition 2018), Brain on Fire in 2010, and Money Flow in a Dynamic Economy in 2020.

Von der hinteren Coverseite

Spline Regression Models shows the nuts-and-bolts of using dummy variables to formulate and estimate various spline regression models. For some researchers this will involve situations where the number and location of the spline knots are known in advance, while others will need to determine the number and location of spline knots as part of the estimation process. Through the use of a number of straightforward examples, the authors will show readers how to work with both types of spline knot situations as well as offering practical, down-to-earth information on estimating splines.

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Verlag
SAGE Publications, Inc
Erscheinungsdatum
2001
Sprache
Englisch
ISBN 10 
0761924205
ISBN 13 
9780761924203
Einband
Taschenbuch
Anzahl der Seiten
69
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
GPSR Kontakt
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