Vegetative segregation of mitochondria in yeast: Estimating parameters using a random model

1978 ◽  
Vol 158 (3) ◽  
pp. 251-261 ◽  
Author(s):  
C. William Birky ◽  
Robert L. Strausberg ◽  
Jean L. Forster ◽  
Philip S. Perlman
Keyword(s):  
Random Model ◽  
Vegetative Segregation

The addition stage in the melamine-formaldehyde reaction: Computer fittings to the non-random model

Polymer ◽  
1968 ◽  
Vol 9 ◽  
pp. 345-358 ◽  
Author(s):  
J.W. Aldersley ◽  
M. Gordon ◽  
A. Halliwell ◽  
T. Wilson
Keyword(s):  
Random Model ◽  
Melamine Formaldehyde

scholarly journals Random model approach for QTL mapping in half-sib families

1999 ◽  
Vol 31 (4) ◽  
pp. 319 ◽  
Author(s):  
Mario L Martinez ◽  
Natascha Vukasinovic ◽  
Gene AE Freeman
Keyword(s):  
Qtl Mapping ◽  
Random Model ◽  
Sib Families ◽  
Model Approach

scholarly journals Using Pooled Model, Random Model And Fixed Model Multiple Regression To Measure Foreign Direct Investment In Taiwan

2011 ◽  
Vol 4 (12) ◽  
Author(s):  
Thomas Hiestand
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Random Effect ◽  
Labor Cost ◽  
Random Model ◽  
Market Size ◽  
Fe Model ◽  
Literacy Rate ◽  
Cost Distance ◽  
Fixed Model

Through out the paper, two questions will be answered. The first question is, which are the countries that contribute largely to Taiwan FDI? The second question the paper is going to explore is what are the factors that draw FDI into Taiwan. According to the current literature on FDI in other countries, the determinants of FDI are relative market size, relative labor cost, distance and literacy rate. Three versions of the empirical model were estimated. They are Pooled regression model, Fixed Effect (FE) model, and Random Effect (RE) model. Throughout the three models, the relative market size hypothesis was consistently proved to be a key determinant of FDI in Taiwan.

Dual random model of increasing annuity

2001 ◽  
Vol 16 (4) ◽  
pp. 430-438 ◽  
Author(s):  
He Wenjiong ◽  
Zhang Yi
Keyword(s):  
Random Model

Quasi-Random Model of Band Absorption*

1962 ◽  
Vol 52 (11) ◽  
pp. 1209 ◽  
Author(s):  
Philip J. Wyatt ◽  
V. Robert Stull ◽  
Gilbert N. Plass
Keyword(s):  
Random Model ◽  
Band Absorption

scholarly journals Development of MILIONCAST, an Improved Model for Predicting Downy Mildew Sporulation on Onions

Plant Disease ◽  
2004 ◽  
Vol 88 (7) ◽  
pp. 695-702 ◽  
Author(s):  
Tijs Gilles ◽  
Kath Phelps ◽  
John P. Clarkson ◽  
Roy Kennedy
Keyword(s):  
Relative Humidity ◽  
Environmental Conditions ◽  
Temporal Pattern ◽  
Random Model ◽  
Controlled Environment ◽  
High Humidity ◽  
Potted Plants ◽  
Effects Of Temperature ◽  
Improved Model ◽  
Accuracy Of Prediction

The effects of temperature and relative humidity on Peronospora destructor sporulation on onion (Allium cepa) leaves were studied under controlled environmental conditions. Sporangia were produced most rapidly at 8 to 12°C after 5 h of high humidity during dark periods. The greatest number of sporangia was produced at 100% relative humidity (RH), and sporulation decreased to almost nil when humidity decreased to 93% RH. A model, named MILIONCAST (an acronym for MILdew on onION foreCAST), was developed based on the data from these controlled environment studies to predict the rate of sporulation in relation to temperature and relative humidity. The accuracy of prediction of sporulation was evaluated by comparing predictions with observations of sporulation on infected plants in pots outdoors. The accuracy of MILIONCAST was compared with the accuracy of existing models based on DOWNCAST. MILIONCAST gave more correct predictions of sporulation than the DOWNCAST models and a random model. All models based on DOWNCAST were more accurate than the random model when compared on the basis of all predictions (including positive and negative predictions), but they gave fewer correct predictions of sporulation than the random model. De Visser's DOWNCAST and ONIMIL improved their accuracy of prediction of sporulation events when the threshold humidity for sporulation was reduced to 92% RH. The temporal pattern of predicted sporulation by MILIONCAST generally corresponded well to the pattern of sporulation observed on the outdoor potted plants at Wellesbourne, UK.

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