<--- Back to Details
First PageDocument Content
Econometrics / Multivariate statistics / Estimation theory / Outlier / Principal component analysis / Near-infrared spectroscopy / Linear regression / Variance / Caffeine / Statistics / Data analysis / Regression analysis
Date: 2006-07-14 06:59:12
Econometrics
Multivariate statistics
Estimation theory
Outlier
Principal component analysis
Near-infrared spectroscopy
Linear regression
Variance
Caffeine
Statistics
Data analysis
Regression analysis

Determination of caffeine in decaffeinated coffee by NIR spectroscopy

Add to Reading List

Source URL: www.camo.com

Download Document from Source Website

File Size: 158,26 KB

Share Document on Facebook

Similar Documents

Linear Regression Kalman Filtering Based on Hyperspherical Deterministic Sampling Gerhard Kurz and Uwe D. Hanebeck Abstract— Nonlinear filtering based on Gaussian densities is commonly performed using so-called Linear

DocID: 1vq9G - View Document

Source and Channel Codes via Sparse Linear Regression Ramji Venkataramanan Sekhar Tatikonda

DocID: 1v5oo - View Document

Pattern Recognition And Machine Learning - EPFL - Fall 2015 Emtiyaz Khan, Timur Bagautdinov, Carlos Becker, Ilija Bogunovic & Ksenia Konyushkova 2. Linear Regression and Gradient Descent 2.1

DocID: 1v534 - View Document

Flexible Covariate Adjustments in Randomized Experiments Christoph Rothe Abstract: Linear regression adjustments for pre-treatment covariates are widely used in economics to lower the variance of treatment effect estimat

DocID: 1uYMC - View Document

C ONTRIBUTED RESEARCH ARTICLE 232 liureg: A Comprehensive R Package for the Liu Estimation of Linear Regression

DocID: 1uFMP - View Document