Results 251 to 260 of about 13,797,284 (270)

Hydrologic Modeling of the Big Thompson River Using a Neural Network

Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007), 2007
Methods of modeling the hydrologic process range from human observers to sophisticated surveys and statistical analysis of climatic data. In the last few years, researchers have applied computer programs called neural networks or artificial neural networks to a variety of uses ranging from medical to financial.
Ward S. Huffman, A. K. Mazouz
openaire   +2 more sources

Model-Based Finite Population Correction for the Horvitz-Thompson Estimator

Biometrika, 1988
This paper discusses a model-based finite population correction term for estimating the model and design variances of the Horvitz-Thompson estimator under the usual model.
openaire   +2 more sources

Modeling Laser Damage Thresholds Using the Thompson-Gerstman Model

2014
Abstract : As lasers become more pervasive, the dangers posed by laser radiation to the human retina have increased. Computer aided modeling of laser tissue interaction in the retina allows for researchers to simulate parameter ranges where exposure can cause damage.
Robert J. Thomas, Paul Kennedy, Austin Kane, Chad A. Oian   +3 more
openaire   +1 more source

MODELING EFFECTIVD MOISTURE DIFFUSIVITY OF ORANGE (THOMPSON VARIETY)

The Proceedings of the 5th Asia-Pacific Drying Conference, 2007
Drying is one of the primary methods of food preservation. Determining coefficients used in drying models is essential to predict the drying behaviour. The present study was conducted to compute effective moisture diffusivity and activation energy of samples of orange slices.
SHAHIN RAFIEE, MOHAMMAD SHARIFI, ALIREZA KEYHANI, ALI JAFARI   +3 more
openaire   +1 more source

Parameter sensitivity of the Thompson granular retinal damage model

SPIE Proceedings, 1998
As part of a research program to understand and model eye damage produced by exposure to cw and pulsed lasers, the U.S. Air Force has created a granular model of laser retinal damage. The Thompson granular model simulates absorption of light by melanosomes distributed in the retinal pigmented epithelium, melanosome heating, and subsequent photothermal ...
Paul K. Kennedy, Jeffrey J. Druessel, James M. Cupello, Stephen Till, Bernard S. Gerstman, Charles R. Thompson, Benjamin A. Rockwell   +6 more
openaire   +1 more source

Ultrasonic measurement models - A tribute to R. Bruce Thompson

AIP Conference Proceedings, 2012
Over the years, R. Bruce Thompson made many significant contributions to the scientific foundation and engineering application of nondestructive evaluation, most notably in the area of ultrasonics. Of those contributions, perhaps none is more notable than what has come to be known as the Thompson-Gray Measurement Model. Born from humble beginnings as a
openaire   +1 more source

SPECTS: Price Elasticity Computation Model Using Thompson Sampling

2022 International Conference on Computational Science and Computational Intelligence (CSCI), 2022
Srividhya Sethuraman, Uma Maheswari G, Sharadha Ramanan   +2 more
openaire   +2 more sources

Thompson's method of aerial triangulation by independent models: Two extensions

Photogrammetria, 1968
Abstract This paper describes two extensions to Thompson's method: ( 2 ) submitting the observations to adjustment; ( 2 ) determination of the z -coordinate of the projection centre.
openaire   +1 more source

On optimality of the horvitz-thompson estimator under a markov process model

Communications in Statistics - Theory and Methods, 1991
For any varying probability sampling design the Horvitz-Thompson (1952) estimator is shown to be optimal within the class of all unbiased estimators of a finite population total under a Markov proc...
openaire   +1 more source

MODEL‐UNBIASEDNESS AND THE HORVITZ‐THOMPSON ESTIMATOR IN FINITE POPULATION SAMPLING

Australian Journal of Statistics, 1980
SummaryUnder the, notion of superpopulation models, the concept of minimum expected variance is adopted as an optimality criterion for design‐unbiased estimators, i.e. unbiased under repeated sampling. In this article, it is shown that the Horvitz‐Thompson estimator is optimal among such estimators if and only if it is model‐unbiased, i.e.
openaire   +1 more source