Data Mining and the Con in Econometrics

Data Mining and the Con in Econometrics
Author :
Publisher :
Total Pages : 11
Release :
ISBN-10 : 0864223803
ISBN-13 : 9780864223807
Rating : 4/5 (807 Downloads)

Book Synopsis Data Mining and the Con in Econometrics by : Michael McAleer

Download or read book Data Mining and the Con in Econometrics written by Michael McAleer and published by . This book was released on 1994 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Data Mining and the Con in Econometrics Related Books

Data Mining and the Con in Econometrics
Language: en
Pages: 11
Authors: Michael McAleer
Categories: Econometrics
Type: BOOK - Published: 1994 - Publisher:

DOWNLOAD EBOOK

Principles and Theory for Data Mining and Machine Learning
Language: en
Pages: 786
Authors: Bertrand Clarke
Categories: Computers
Type: BOOK - Published: 2009-07-21 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Extensive treatment of the most up-to-date topics Provides the theory and concepts behind popular and emerging methods Range of topics drawn from Statistics, Co
Dynamic Econometrics
Language: en
Pages: 918
Authors: David F. Hendry
Categories: Business & Economics
Type: BOOK - Published: 1995 - Publisher:

DOWNLOAD EBOOK

The main problem in econometric modelling of time series is discovering sustainable and interpretable relationships between observed economic variables. The pri
Data Mining for Business Analytics
Language: en
Pages: 560
Authors: Galit Shmueli
Categories: Mathematics
Type: BOOK - Published: 2016-04-22 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an applied approach to data mining and predictiv
Data Mining for Business Analytics
Language: en
Pages: 610
Authors: Galit Shmueli
Categories: Mathematics
Type: BOOK - Published: 2019-11-05 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Pyt