scholarly journals Calculus of functors and model categories

2007 ◽  
Vol 214 (1) ◽  
pp. 92-115 ◽  
Author(s):  
Georg Biedermann ◽  
Boris Chorny ◽  
Oliver Röndigs
Keyword(s):  
Model Categories ◽  
Calculus Of Functors

scholarly journals Calculus of functors and model categories, II

2014 ◽  
Vol 14 (5) ◽  
pp. 2853-2913 ◽  
Author(s):  
Georg Biedermann ◽  
Oliver Röndigs
Keyword(s):  
Model Categories ◽  
Calculus Of Functors

scholarly journals On the construction of functorial factorizations for model categories

2013 ◽  
Vol 13 (2) ◽  
pp. 1089-1124 ◽  
Author(s):  
Tobias Barthel ◽  
Emily Riehl
Keyword(s):  
Model Categories

Model Categories

2009 ◽  
pp. 65-138
Author(s):  
Paul G. Goerss ◽  
John F. Jardine
Keyword(s):  
Model Categories

scholarly journals Goodwillie's calculus of functors and higher topos theory

2018 ◽  
Vol 11 (4) ◽  
pp. 1100-1132 ◽  
Author(s):  
M. Anel ◽  
G. Biedermann ◽  
E. Finster ◽  
A. Joyal
Keyword(s):  
Topos Theory ◽  
Calculus Of Functors

scholarly journals Calculus of functors, operad formality, and rational homology of embedding spaces

2007 ◽  
Vol 199 (2) ◽  
pp. 153-198 ◽  
Author(s):  
Gregory Arone ◽  
Pascal Lambrechts ◽  
Ismar Volić
Keyword(s):  
Rational Homology ◽  
Calculus Of Functors ◽  
Embedding Spaces

Reedy model categories

1999 ◽  
pp. 353-387 ◽  
Author(s):  
Paul G. Goerss ◽  
John F. Jardine
Keyword(s):  
Model Categories

scholarly journals The Scoring Mechanism of Players after Game Based on Cluster Regression Analysis Model

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jin Xu ◽  
Chao Yi
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Regression Models ◽  
Effective Theory ◽  
Standard Errors ◽  
Limited Data ◽  
Analysis Model ◽  
Multiple Objects ◽  
Model Categories ◽  
Model Expression

Cluster regression analysis model is an effective theory for a reasonable and fair player scoring game. It can roughly predict and evaluate the performance of athletes after the game with limited data and provide scientific predictions for the performance of athletes. The purpose of this research is to achieve the player’s postmatch scoring through the cluster regression model. Through the research and analysis of past ball games, the comparison and experiment of multiple objects based on different regression analysis theories, the following conclusions are drawn. Different regression models have different standard errors, but if the data in other model categories are put into the centroid model expression, the standard error and the error of the original model are within 0.3, which can replace other models for calculation. In the player’s postmatch scoring, although the expert’s prediction of the result is very accurate, within the error range of 1 copy, the player’s postmatch scoring mechanism based on the cluster regression analysis model is more accurate, and the error formula is in the 0.5 range. It is best to switch the data of the regression model twice to compare the scoring mechanism using different regression experiments.

scholarly journals Obstruction theory in model categories

2004 ◽  
Vol 181 (2) ◽  
pp. 396-416 ◽  
Author(s):  
J.Daniel Christensen ◽  
William G. Dwyer ◽  
Daniel C. Isaksen
Keyword(s):  
Obstruction Theory ◽  
Model Categories
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