The Resource Regression for economics, Shahdad Naghshpour
Regression for economics, Shahdad Naghshpour
Resource Information
The item Regression for economics, Shahdad Naghshpour represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.This item is available to borrow from 1 library branch.
Resource Information
The item Regression for economics, Shahdad Naghshpour represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.
This item is available to borrow from 1 library branch.
- Summary
- The concept of regression was introduced by Legendre in 1805 and advanced by Gauss in 1809. The term was popularized after Galton's 1886 article. Contribution of R.A. Fisher in the early 20th century was instrumental to the spread of the method to every scientific branch. Regression analysis, used in economics and many other fields, is now the most commonly used statistical method. Although few would characterize this technique as simple, regression is in fact both simple and elegant. The complexity that many attribute to regression analysis is often a reflection of their lack of familiarity with the language of mathematics. But regression analysis can be understood even without the mastery of sophisticated mathematical concepts. This book provides the foundation of regression analysis in a way that is easy to comprehend. All the examples are from economics and in almost all the examples real data are used to show the application of the method
- Language
- eng
- Edition
- Second edition.
- Extent
- 1 online resource (1 PDF (xix, 166 pages)).
- Note
- Title from PDF title page (viewed on May 12, 2016)
- Contents
-
- 1. The concept of regression
- 2. The method of least squares
- 3. Simple linear regression using software packages
- 4. Multiple regression
- 5. Goodness of fit
- 6. Regression coefficients
- 7. Causality: correlation is not causality
- 8. Qualitative variables in regression
- 9. Pitfalls of regression analysis
- Appendix
- Glossary of terms
- Notes
- References
- Index
- Isbn
- 9781631574436
- Label
- Regression for economics
- Title
- Regression for economics
- Statement of responsibility
- Shahdad Naghshpour
- Subject
-
- Economics -- Statistical methods
- Electronic books
- MATHEMATICS -- Applied
- MATHEMATICS -- Probability & Statistics | General
- Regression analysis
- Regression analysis
- Stata
- analysis
- causality
- ceteris paribus
- coefficient of determination
- control variables
- error
- goodness of fit
- inference
- misspecification
- model
- proxy variables
- regression
- spurious regression
- Economics -- Statistical methods
- Language
- eng
- Summary
- The concept of regression was introduced by Legendre in 1805 and advanced by Gauss in 1809. The term was popularized after Galton's 1886 article. Contribution of R.A. Fisher in the early 20th century was instrumental to the spread of the method to every scientific branch. Regression analysis, used in economics and many other fields, is now the most commonly used statistical method. Although few would characterize this technique as simple, regression is in fact both simple and elegant. The complexity that many attribute to regression analysis is often a reflection of their lack of familiarity with the language of mathematics. But regression analysis can be understood even without the mastery of sophisticated mathematical concepts. This book provides the foundation of regression analysis in a way that is easy to comprehend. All the examples are from economics and in almost all the examples real data are used to show the application of the method
- Cataloging source
- NYBEP
- http://library.link/vocab/creatorName
- Naghshpour, Shahdad
- Dewey number
- 519.536
- Index
- index present
- LC call number
- HB137
- LC item number
- .N247 2016
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- abstracts summaries
- bibliography
- Series statement
- Economics collection,
- http://library.link/vocab/subjectName
-
- Economics
- Regression analysis
- MATHEMATICS
- MATHEMATICS
- Economics
- Regression analysis
- Target audience
- specialized
- Label
- Regression for economics, Shahdad Naghshpour
- Note
- Title from PDF title page (viewed on May 12, 2016)
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references (page 161) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 1. The concept of regression -- 2. The method of least squares -- 3. Simple linear regression using software packages -- 4. Multiple regression -- 5. Goodness of fit -- 6. Regression coefficients -- 7. Causality: correlation is not causality -- 8. Qualitative variables in regression -- 9. Pitfalls of regression analysis -- Appendix -- Glossary of terms -- Notes -- References -- Index
- Control code
- 949862466
- Dimensions
- unknown
- Edition
- Second edition.
- Extent
- 1 online resource (1 PDF (xix, 166 pages)).
- File format
- unknown
- Form of item
- online
- Isbn
- 9781631574436
- Level of compression
- unknown
- Media category
- electronic
- Media MARC source
- isbdmedia
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)949862466
- Label
- Regression for economics, Shahdad Naghshpour
- Note
- Title from PDF title page (viewed on May 12, 2016)
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references (page 161) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 1. The concept of regression -- 2. The method of least squares -- 3. Simple linear regression using software packages -- 4. Multiple regression -- 5. Goodness of fit -- 6. Regression coefficients -- 7. Causality: correlation is not causality -- 8. Qualitative variables in regression -- 9. Pitfalls of regression analysis -- Appendix -- Glossary of terms -- Notes -- References -- Index
- Control code
- 949862466
- Dimensions
- unknown
- Edition
- Second edition.
- Extent
- 1 online resource (1 PDF (xix, 166 pages)).
- File format
- unknown
- Form of item
- online
- Isbn
- 9781631574436
- Level of compression
- unknown
- Media category
- electronic
- Media MARC source
- isbdmedia
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)949862466
Subject
- Economics -- Statistical methods
- Electronic books
- MATHEMATICS -- Applied
- MATHEMATICS -- Probability & Statistics | General
- Regression analysis
- Regression analysis
- Stata
- analysis
- causality
- ceteris paribus
- coefficient of determination
- control variables
- error
- goodness of fit
- inference
- misspecification
- model
- proxy variables
- regression
- spurious regression
- Economics -- Statistical methods
Genre
Member of
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.mst.edu/portal/Regression-for-economics-Shahdad/WB-u7m_6ESU/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.mst.edu/portal/Regression-for-economics-Shahdad/WB-u7m_6ESU/">Regression for economics, Shahdad Naghshpour</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.mst.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.mst.edu/">Missouri University of Science & Technology Library</a></span></span></span></span></div>
