Linear regression

Results: 5577



#Item
11Multicollinearity and Model Misspecification Christopher Winship, Bruce Western Harvard University Abstract: Multicollinearity in linear regression is typically thought of as a problem of large standard errors due to nea

Multicollinearity and Model Misspecification Christopher Winship, Bruce Western Harvard University Abstract: Multicollinearity in linear regression is typically thought of as a problem of large standard errors due to nea

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Source URL: www.sociologicalscience.com

    12A000235  adaptive estimation Adaptive estimation arises in the context of partially specified models. Partially specified models occur with some frequency in econometrics. For example, a linear regression model in whic

    A000235 adaptive estimation Adaptive estimation arises in the context of partially specified models. Partially specified models occur with some frequency in econometrics. For example, a linear regression model in whic

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    Source URL: econ.ucsb.edu

    - Date: 2006-11-17 17:51:38
      13Detecting articulatory compensation in acoustic data through linear regression modeling Alina Khasanova1 , Jennifer Cole2 , Mark Hasegawa-Johnson3 1  unaffiliated

      Detecting articulatory compensation in acoustic data through linear regression modeling Alina Khasanova1 , Jennifer Cole2 , Mark Hasegawa-Johnson3 1 unaffiliated

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      Source URL: prosody.beckman.illinois.edu

      - Date: 2014-04-01 08:53:19
        14DIRECT INJURY, MYIASIS, FORENSICS  Effects of Temperature on Development of Phormia regina (Diptera: Calliphoridae) and Use of Developmental Data in Determining Time Intervals in Forensic Entomology P. D. NABITY, L. G. H

        DIRECT INJURY, MYIASIS, FORENSICS Effects of Temperature on Development of Phormia regina (Diptera: Calliphoridae) and Use of Developmental Data in Determining Time Intervals in Forensic Entomology P. D. NABITY, L. G. H

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        Source URL: www.nabitylab.org

        Language: English - Date: 2014-08-13 16:47:24
        15MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Speed Sensorless State Estimation for Induction Motors: A Moving Horizon Approach Zhou, L.; Wang, Y.

        MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Speed Sensorless State Estimation for Induction Motors: A Moving Horizon Approach Zhou, L.; Wang, Y.

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        Source URL: www.merl.com

        Language: English - Date: 2016-07-07 10:36:56
        16HP Prime Technology Corner 28  The Practice of Statistics for the AP Exam, 5e Section 12-1, P. 751

        HP Prime Technology Corner 28 The Practice of Statistics for the AP Exam, 5e Section 12-1, P. 751

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        Source URL: hp-prime.de

        Language: English - Date: 2014-09-09 06:17:50
        17Microsoft Word - AHRQ RAHM Workgroup Technical Report_Final.doc

        Microsoft Word - AHRQ RAHM Workgroup Technical Report_Final.doc

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        Source URL: www.qualityindicators.ahrq.gov

        Language: English - Date: 2013-11-24 13:45:30
        18Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit

        Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit

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        Source URL: www.mackelab.org

        Language: English - Date: 2016-08-04 15:02:44
        19Research in Business and Economics Journal  Volume 11 The influence of some macroeconomic factors on the growth of micro firms in the United States

        Research in Business and Economics Journal Volume 11 The influence of some macroeconomic factors on the growth of micro firms in the United States

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        Source URL: www.aabri.com

        Language: English - Date: 2016-05-22 12:00:02
        20In modern applications, we are interested in fitting regression models that are fast (i.e. can be fit to high-dimensional data), flexible (e.g. do not assume a linear conditional mean relationship between the response an

        In modern applications, we are interested in fitting regression models that are fast (i.e. can be fit to high-dimensional data), flexible (e.g. do not assume a linear conditional mean relationship between the response an

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        Source URL: mmds-data.org

        - Date: 2016-06-23 15:50:48