The ASSESSOR Pre-Test Market Evaluation System

1983 ◽  
Vol 13 (6) ◽  
pp. 38-59 ◽  
Author(s):  
Glen L. Urban ◽  
Gerald M. Katz ◽  
Thomas E. Hatch ◽  
Alvin J. Silk
Keyword(s):  
Evaluation System ◽  
Market Evaluation ◽  
Test Market

Estimating Willingness to Pay from Survey Data: An Alternative Pre-Test-Market Evaluation Procedure

1987 ◽  
Vol 24 (4) ◽  
pp. 389-395 ◽  
Author(s):  
Trudy A. Cameron ◽  
Michelle D. James
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Market Research ◽  
Likelihood Estimation ◽  
Ordinary Least Squares ◽  
Evaluation Procedure ◽  
Estimation Technique ◽  
Least Squares Regression ◽  
Market Evaluation ◽  
Test Market

Closed-ended contingent valuation surveys are used to assess demands in hypothetical markets and recently have been applied widely to the valuation of (non-market) environmental resources. This interviewing strategy holds considerable promise for more general market research applications. The authors describe a new maximum likelihood estimation technique for use with these special data. Unlike previously used methods, the estimated models are as easy to interpret as ordinary least squares regression results and the results can be approximated accurately by packaged probit estimation routines.

scholarly journals Pre-Test-Market Evaluation of New Packaged Goods: A Model and Measurement Methodology

1978 ◽  
Vol 15 (2) ◽  
pp. 171-191 ◽  
Author(s):  
Alvin J. Silk ◽  
Glen L. Urban
Keyword(s):  
Failure Rate ◽  
Packaged Goods ◽  
Measurement Methodology ◽  
Case Application ◽  
Market Evaluation ◽  
Test Market ◽  
Improved Methods

The substantial failure rate of new packaged goods in test markets has stimulated firms to seek improved methods of pre-test-market evaluation. A set of measurement procedures and models designed to produce estimates of the sales potential of a new packaged good before test marketing is presented. A case application of the system also is discussed.

A proposed method for assessing the quality of sealants - the CCC Sealant Evaluation System

2001 ◽  
Vol 29 (2) ◽  
pp. 83-91 ◽  
Author(s):  
Christopher Deery ◽  
Hazel E. Fyffe ◽  
Zoann J. Nugent ◽  
Nigel M. Nuttall ◽  
Nigel B. Pitts
Keyword(s):  
Evaluation System

Intelligent system of English composition scoring model based on improved machine learning algorithm

2020 ◽  
pp. 1-11
Author(s):  
Jie Liu ◽  
Lin Lin ◽  
Xiufang Liang
Keyword(s):  
Machine Learning ◽  
Evaluation System ◽  
Intelligent System ◽  
Learning Algorithm ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Assessment System ◽  
English Composition ◽  
Region Extraction ◽  
Constraint Model

The online English teaching system has certain requirements for the intelligent scoring system, and the most difficult stage of intelligent scoring in the English test is to score the English composition through the intelligent model. In order to improve the intelligence of English composition scoring, based on machine learning algorithms, this study combines intelligent image recognition technology to improve machine learning algorithms, and proposes an improved MSER-based character candidate region extraction algorithm and a convolutional neural network-based pseudo-character region filtering algorithm. In addition, in order to verify whether the algorithm model proposed in this paper meets the requirements of the group text, that is, to verify the feasibility of the algorithm, the performance of the model proposed in this study is analyzed through design experiments. Moreover, the basic conditions for composition scoring are input into the model as a constraint model. The research results show that the algorithm proposed in this paper has a certain practical effect, and it can be applied to the English assessment system and the online assessment system of the homework evaluation system algorithm system.

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