scholarly journals A maximum-likelihood procedure for estimating psychometric functions: Thresholds, slopes, and lapses of attention

2012 ◽  
Vol 132 (2) ◽  
pp. 957-967 ◽  
Author(s):  
Yi Shen ◽  
Virginia M. Richards
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Procedure

Use of residual maximum likelihood to evaluate accuracy of two NIRS calibration procedures, relative to Kjeldahl, for determining nitrogen concentration of soybeans

1991 ◽  
Vol 71 (2) ◽  
pp. 385-392 ◽  
Author(s):  
G. B. Schaalje ◽  
H. -H. Mündel
Keyword(s):  
Maximum Likelihood ◽  
Near Infrared ◽  
Nitrogen Concentration ◽  
Principal Component Regression ◽  
Principal Component ◽  
Field Trials ◽  
Near Infrared Reflectance ◽  
Residual Maximum Likelihood ◽  
Maximum Likelihood Procedure ◽  
Calibration Methods

The accuracy of estimates of plant properties based on near-infrared reflectance spectroscopy (NIRS) varies with many factors including the biological material in question and the method used to calibrate the NIRS instrument. This study investigated the accuracy, relative to Kjeldahl analysis, of NIRS analysis based on two calibration methods in estimating nitrogen concentration of four stages and/or parts of soybean (Glycine max (L.) Merr.) plants. Samples of whole top growth at anthesis, whole top growth at maturity, whole top growth at maturity excluding seeds, and seeds were obtained from two field trials and one phytotron experiment. Two Kjeldahl determinations of nitrogen concentration were obtained for each sample, as well as reflectance values at each of 19 infrared wavelengths, using a Technicon InfraAlyser 400R. Different subsets of the sample data were used for calibration and assessment of accuracy. The instrument was calibrated using stepwise multiple linear regression (SMLR) and principal component regression (PCR). The residual maximum likelihood procedure was useful in showing that NIRS estimates based on either SMLR or PCR were at least as accurate as Kjeldahl estimates for all stages and/or parts except whole top growth at maturity excluding seeds. Key words: Calibration, principal component regression, stepwise regression

Estimation of psychometric functions using a hybrid up–down maximum likelihood procedure

1999 ◽  
Vol 106 (4) ◽  
pp. 2147-2147
Author(s):  
He Yuan ◽  
Harry Levitt ◽  
James D. Miller
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Procedure

scholarly journals Upper and Lower Bounds for a Serial Dilution Test

2005 ◽  
Vol 88 (4) ◽  
pp. 1227-1230 ◽  
Author(s):  
Robert J Blodgett
Keyword(s):  
Maximum Likelihood ◽  
Lower Bounds ◽  
Serial Dilution ◽  
Upper And Lower Bounds ◽  
Binomial Model ◽  
Maximum Likelihood Procedure

Abstract A Poisson-binomial model estimates the concentration of a target microbe from a serial dilution test. The maximum likelihood procedure gives an equation whose solution equals the estimate of the concentration. This paper gives bounds for the solution to this equation that require only minimal calculations.

Sign in / Sign up

Export Citation Format

Share Document