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by
Olson, Matthew, author.
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it as kernel regression with the proximity kernel. We then analyze the parameters that control the
by
Friedlander, Eric, author.
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construct controls which are asymptotically optimal for the finite particle system control problem. In the
by
Chao, Jeffrey, author.
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While being able to predict wildfires is crucial in being able to safely control them, also
by
Li, Xiaomao, author.
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) control intervals for diabetic patients.
by
Kong, Xiangyu. author.
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This book not only provides a comprehensive introduction to neural-based PCA methods in control
by
García-Alcaraz, Jorge Luis. author.
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. Kaizen is treated in this book in three stages: planning, implementation and control. The authors provide
by
Nguyen, Yet, author.
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control procedure for one experiment proposed by Nettleton et al. (2016); Liang and Nettleton (2012). We
by
Chen, Ziyue, author.
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, rather than estimating PSs together (treatment and control groups in trials combined). We find that for
by
Van den Broeck, Jan. editor.
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Recruitment and Enrollment Plan.- The Measurement Plan.- The Quality Assurance and Control Plan.- The Data
by
Li, Kathleen T., author.
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predictive efficiency than other methods such as the synthetic control and modified synthetic control method
by
Johnsson, Ida, author.
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effect equation that control for the endogeneity of the social connections using a control function
by
Gauran, Iris Ivy M., author.
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considerably small. Based on the simulation studies, the full Bayesian methods have the ability to control FDR
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