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XploRe® - Application Guide / by W. Härdle, Z. Hlavka, S. Klinke

Edition 1st ed. 2000.
Publisher (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
Year 2000
Language English
Size IV, 525 p. 70 illus : online resource
Authors *Härdle, W author
Hlavka, Z author
Klinke, S author
SpringerLink (Online service)
Subjects LCSH:Statistics 
LCSH:Mathematical statistics -- Data processing  All Subject Search
LCSH:Econometrics
LCSH:Finance
FREE:Statistics in Business, Management, Economics, Finance, Insurance
FREE:Statistics and Computing
FREE:Quantitative Economics
FREE:Financial Economics
Notes I Regression Models -- 1 Quantile Regression -- 2 Least Trimmed Squares -- 3 Errors-in-Variables Models -- 4 Simultaneuos-Equations Models -- 5 Hazard Regression -- 6 Generalized Partial Linear Models -- 7 Generalized Additive Models -- II Data Exploration -- 8 Growth Regression and Counterfactual Income Dynamics -- 9 Cluster Analysis -- 10 Classification and Regression Trees -- 11 DPLS: Partial Least Squares Program -- 12 Uncovered Interest Parity -- 13 Correspondence Analysis -- III Dynamic Statistical Systems -- 14 Long-Memory Analysis -- 15 ExploRing Persistence in Financial Time Series -- 16 Flexible Time Series Analysis -- 17 Multiple Time Series Analysis -- 18 Robust Kalman Filtering
Most statistical applications involve computational work with data stored on a computer. The mechanics of interaction with the data is a function of the sta­ tistical computing environment. This application guide is intended for slightly experienced statisticians in computer-aided data analysis who desire to learn advanced applications in various fields of statistics. The prerequisities for XploRe-the statistic computing environment-are an introductory course in statistics or mathematics. This book is designed as an e-book which means that the text contained in here is also available as an integrated document in HTML and PDF format. The reader of this application guide should therefore be familiar with the basics of Acrobat Reader and of HTML browsers in order to profit from direct computing possibilities within this document. The quantlets presented here may be used together with the academic edi­ tion of XploRe (http://www.i-xplore.de) or via the XploRe Quantlet Client (XQC) on http://www.xplore-stat.de. The book comes together with a CD­ Rom that contains the XploRe Quantlet Server (XQS) and the full Auto Pilot Support System (APSS). With this e-book bundle one may directly try the application without being dependent on a specific software version. The quantlets described in the book can be accessed via the links included All executable quantlets are denoted by the symbol . Some in the text
HTTP:URL=https://doi.org/10.1007/978-3-642-57292-0
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Springer eBooks 9783642572920
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EB00237665

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Material Type E-Book
Classification LCC:QA276-280
DC23:300,727
ID 4000109968
ISBN 9783642572920

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