Using Stressor-response Relationships to Derive Numeric Nutrient Criteria

First Page		Document Content
Date: 2014-03-06 08:51:07 Statistical inference Estimation theory Parametric statistics Quantile regression Linear regression Prediction interval Simple linear regression Q-Q plot Nonparametric regression Statistics Regression analysis Econometrics		Using Stressor-response Relationships to Derive Numeric Nutrient Criteria Add to Reading List Source URL: epa.ohio.gov Download Document from Source Website File Size: 1,77 MB Share Document on Facebook

	GRADUATE SEMINAR Mashfiqul Huq Chowdhury Quantile Regression Approach for Analyzing Gene Expression Data M.Sc Student Supervised by Dr. Dianliang Deng DocID: 1xVMH - View Document
	GRADUATE SEMINAR Mashfiqul Huq Chowdhury Quantile Regression Approach for Homogeneous and Heterogeneous Model M.Sc Student supervised by Dr. Dianliang Deng DocID: 1xTGt - View Document
	Statistica Sinica), VARIABLE SELECTION IN QUANTILE REGRESSION Yichao Wu and Yufeng Liu North Carolina State University and University of North Carolina, Chapel Hill DocID: 1v5Cz - View Document
	Quantile Regression in Reproducing Kernel Hilbert Spaces Youjuan L I, Yufeng L IU, and Ji Z HU In this article we consider quantile regression in reproducing kernel Hilbert spaces, which we call kernel quantile regressio DocID: 1u7rE - View Document
	Bayesian Non-parametric Simultaneous Quantile Regression for Complete and Grid Data Priyam Das∗ and Subhashis Ghosal † DocID: 1tgJ9 - View Document