<--- Back to Details
First PageDocument Content
Statistical inference / Missing data / Statistical tests / Resampling / Imputation / Bootstrapping / Regression analysis / Linear regression / Statistics / Data analysis / Econometrics
Date: 2012-02-29 13:33:10
Statistical inference
Missing data
Statistical tests
Resampling
Imputation
Bootstrapping
Regression analysis
Linear regression
Statistics
Data analysis
Econometrics

Microsoft Word - E1_Steubenville-Weirton_Missing_Data_Imputation.doc

Add to Reading List

Source URL: www.epa.ohio.gov

Download Document from Source Website

File Size: 204,61 KB

Share Document on Facebook

Similar Documents

Why Hammerstein-Type Block Models Are So Efficient: Case Study of Financial Econometrics Thongchai Dumrongpokaphan, Afshin Gholamy, Vladik Kreinovich, and Hoang Phuong Nguyen Abstract In the first approximation, many ec

DocID: 1vs8z - View Document

HeiKaMEtrics-Seminar Joint Heidelberg, Karlsruhe and Mannheim research seminar in Econometrics The Macroeconomic Impact of Money Market Freezes Marie Hoerova European Central Bank

DocID: 1vjYB - View Document

Literature for „Econometrics of Evaluation“ A) Experiments: 1. Angrist, Joshua D. and Jörn-Steffen Pischke. 2009. „Mostly Harmless Econometrics – An Empiricist’s Companion“. Princeton University Press. Chapt

DocID: 1vjgW - View Document

Reading list for the talk “Gender inequality, measurement and evidence” Winter School on Inequality and Social Welfare Theory 2017 Elena Bárcena-Martín. Applied Economics. Statistics and Econometrics Deparment. Uni

DocID: 1v5Hi - View Document

Automatic Synthesis Using Genetic Programming of an Improved General-Purpose Controller for Industrially Representative Plants Martin A. Keane Econometrics Inc. Chicago, Illinois

DocID: 1v2q1 - View Document