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M squared
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31	BMI Basics for Professionals What is BMI? BMI is an anthropometric index of weight and height that is defined as body weight in kilograms divided by height in meters squared. BMI = weight (kg) / height (m)2 BMI is the co Add to Reading List Source URL: www.healthynh.com Language: English - Date: 2014-05-14 16:03:41 Obesity Body shape Medical signs Mass Body mass index Overweight Body fat percentage Clinical nutrition Classification of obesity Medicine Nutrition Health
32	[removed]PIMS - large.cdr Add to Reading List Source URL: www.uregina.ca Language: English - Date: 2014-03-12 16:17:20 Statistical inference Least squares M-estimators Estimator Maximum likelihood Mean squared error Shrinkage estimator Efficiency Efficient estimator Statistics Estimation theory Statistical theory
33	Imbens/Wooldridge, Lecture Notes 15, Summer ’07 What’s New in Econometrics 1 NBER, Summer 2007 Add to Reading List Source URL: www.nber.org Language: English - Date: 2007-07-27 10:46:46 Maximum likelihood M-estimator Fisher information Estimator Ordinary least squares Mean squared error Parametric model Likelihood function Efficiency Statistics Estimation theory Generalized method of moments
34	Prediction Error Estimation: A Comparison of Resampling Methods Annette M. Molinaro ∗ Biostatistics Branch Division of Cancer Epidemiology and Genetics, NCI, NIH Richard Simon Add to Reading List Source URL: linus.nci.nih.gov Language: English - Date: 2013-03-12 10:01:36 Estimation theory Data analysis Monte Carlo methods Cross-validation Resampling Bootstrapping Mean squared error Regression analysis Estimator Statistics Statistical inference Computational statistics
35	Sociological Methods & Research http://smr.sagepub.com/ The Bias and Efficiency of Incomplete-Data Estimators in Small Univariate Normal Samples Add to Reading List Source URL: www.utexas.edu Language: English - Date: 2014-03-07 12:02:05 Point estimation Bias of an estimator Mean squared error M-estimator Minimum-variance unbiased estimator Maximum likelihood Efficiency Bayes estimator Sample maximum and minimum Statistics Estimation theory Estimator
36	ESTIMATORS AND THE ESTIMATION PROCESS by Charles R. Perry, Jr. The objective of any survey is to provide information on the characteristics of the population by examining a subset of the population. By analyzing the data Add to Reading List Source URL: nass.usda.gov Language: English - Date: 2012-02-23 10:28:32 Statistical theory Robust regression M-estimators Estimator Mean squared error Efficiency Sample size determination Sampling Point estimation Statistics Estimation theory Statistical inference
37	Terms and conditions for entering the M&M Global Awards C Squared Networks is the sole and rightful owner and organiser of the M&M Global Awards 2014, to be celebrated at the M&M Awards Gala Dinner. 1. Eligibility The M& Add to Reading List Source URL: entry.mandmglobal.com Language: English - Date: 2014-05-08 06:20:52 Reel Business Technology Bulk material handling Packaging
38	Journal of Econometrics[removed]–131 www.elsevier.com/locate/econbase Individual eects and dynamics in count data models Richard Blundella; b , Rachel Gri&thb , Frank Windmeijerb; ∗ Add to Reading List Source URL: personalpages.manchester.ac.uk Language: English - Date: 2006-01-17 09:29:44 Maximum likelihood Estimator Instrumental variable Consistent estimator M-estimator Mean squared error T-statistic Normal distribution Statistics Estimation theory Generalized method of moments
39	BMI Basics for Professionals What is BMI? BMI is an anthropometric index of weight and height that is defined as body weight in kilograms divided by height in meters squared. BMI = weight (kg) / height (m)2 BMI is the co Add to Reading List Source URL: www.healthynh.com Language: English - Date: 2014-05-14 16:03:46 Obesity Body shape Medical signs Mass Body mass index Overweight Body fat percentage Clinical nutrition Classification of obesity Medicine Nutrition Health
40	Semiparametric Efficient and Robust Estimation of an Unknown Symmetric Population Under Arbitrary Sample Selection Bias Yanyuan MA, Mijeong KIM, and Marc G. GENTON Downloaded by [Texas A&M University Libraries] at 12:10 Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2013-09-29 15:13:09 Statistical inference Efficient estimator Estimator Maximum likelihood Consistent estimator Parametric model Normal distribution Mean squared error Kernel density estimation Statistics Estimation theory Statistical theory

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