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XploRe - Application Guide Paperback - 2000 - 1st Edition
by W. Härdle; Z. Hlavka; S. Klinke
First line
The purpose of the classical least squares estimation is to answer the question "How does the conditional expectation of a random variable Y, E(Y\X), depend on some explanatory variables X?" usually under some assumptions about the functional form of E(Y\X), e.g., linearity.
Details
- Title XploRe - Application Guide
- Author W. Härdle; Z. Hlavka; S. Klinke
- Binding Paperback
- Edition number 1st
- Edition 1
- Language ENG
- Publisher Springer, New York:
- Date December 28, 2000
- Features Illustrated
- ISBN 9783540675457
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XploRe® - Application Guide
by Härdle, W.
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XPLORE - APPLICATION GUIDE
by W. HÄRDLE , Z. HLAVKA ,
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Springer, 2000. 1st. Paperback. New/New.
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XploRe® - Application Guide
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XploRe (R) - Application Guide
by Wolfgang Hardle
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Paperback / softback. New. As a guide it contains case studies of real data analysis situations. It helps the beginner in statistical data analysis to learn how XploRe works in real life applications. The case studies include: Survival modelling with Cox's proportional hazard regression, Vitamin C data analysis with Quantile Regression, and many others.
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Xplore: Application Guide
by W. Härdle/ Z. Hlavka/ S. Klinke
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Springer Verlag, 2000. Paperback. New. 1st edition. 525 pages. 9.50x6.50x1.50 inches.
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