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Article Why does the social gradient in health not apply to overweight?

Article Why does the social gradient in health not apply to overweight?

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ANOVA and Regression Brian Healy, PhD

ANOVA and Regression Brian Healy, PhD

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How to avoid over-fitting in multivariate calibration—The

How to avoid over-fitting in multivariate calibration—The

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How to Adjust for Nonignorable Nonresponse: Calibration, Heckit or FIML? Working Paper 2007:22

How to Adjust for Nonignorable Nonresponse: Calibration, Heckit or FIML? Working Paper 2007:22

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HELSINKI UNIVERSITY OF TECHNOLOGY Department of Engineering Physics and Mathematics

HELSINKI UNIVERSITY OF TECHNOLOGY Department of Engineering Physics and Mathematics

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Handout

Handout

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Global Convergence of Stochastic Gradient Descent for Some Nonconvex Matrix Problems

Global Convergence of Stochastic Gradient Descent for Some Nonconvex Matrix Problems

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Generalized Systematic Risk - Olin Business School

Generalized Systematic Risk - Olin Business School

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disclaimer and agreement for use of the solar viewer

disclaimer and agreement for use of the solar viewer

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Offshoring, Hicks-Neutral Productivity and Skill

Offshoring, Hicks-Neutral Productivity and Skill

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Nonparametric maximum likelihood estimation of the structural mean of a sample

Nonparametric maximum likelihood estimation of the structural mean of a sample

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Nonparametric Estimation for Semi-Markov Processes Based on K-Sample Paths with

Nonparametric Estimation for Semi-Markov Processes Based on K-Sample Paths with

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NEW SEMIPARAMETRIC PAIRWISE DIFFERENCE ESTIMATORS FOR PANEL DATA SAMPLE SELECTION MODELS Abstract

NEW SEMIPARAMETRIC PAIRWISE DIFFERENCE ESTIMATORS FOR PANEL DATA SAMPLE SELECTION MODELS Abstract

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Misspeci"ed heteroskedasticity in the panel GMM and SML estimators

Misspeci"ed heteroskedasticity in the panel GMM and SML estimators

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Scalable Probabilistic Tensor Factorization for Binary and

Scalable Probabilistic Tensor Factorization for Binary and

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Sampling Design, Sample Size, and Their Importance

Sampling Design, Sample Size, and Their Importance

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Sample size selection in optimization methods for machine learning Richard H. Byrd

Sample size selection in optimization methods for machine learning Richard H. Byrd

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Sample Size Estimation in Research With Dependent Measures and Dichotomous Outcomes 

Sample Size Estimation in Research With Dependent Measures and Dichotomous Outcomes 

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SAMPLE PATH LARGE DEVIATIONS FOR A CLASS OF Anton Bovier

SAMPLE PATH LARGE DEVIATIONS FOR A CLASS OF Anton Bovier

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pdf, 5 pp

pdf, 5 pp

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Paper - Gary King - Harvard University

Paper - Gary King - Harvard University

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