Daisuke Yagi, Ph.D. - Google Scholar

Skapa en profil

Citeras av

	Alla	Sedan 2019
Citat	43	37
h-index	3	2
i10-index	1	1

0

12

6

2016201720182019202020212022202320241 3 11 11 7 3 2

Medförfattare

Andrew L JohnsonAmazon.com and Department of Industrial and Systems Engineering, Texas A&MVerifierad e-postadress på tamu.edu
Timo KuosmanenTurku School of Economics, University of TurkuVerifierad e-postadress på utu.fi

Daisuke Yagi, Ph.D.

Daisuke Yagi, Ph.D.

Ph.D. in Industrial Engineering, Texas A&M University

Verifierad e-postadress på tamu.edu - Startsida

machine learning data science statistics econometrics


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Shape-constrained kernel-weighted least squares: Estimating production functions for Chilean manufacturing industries D Yagi, Y Chen, AL Johnson, T Kuosmanen Journal of Business & Economic Statistics 38 (1), 43-54, 2020	32	2020
Insights from machine learning for evaluating production function estimators on manufacturing survey data JL Preciado Arreola, D Yagi, AL Johnson Journal of Productivity Analysis 53, 181-225, 2020	6	2020
Semiconductor supply planning by considering transit options to take advantage of pre-productions and order cancellations D Yagi, K Nagasawa, T Irohara, H Ehm, G Yachi Simulation Modelling Practice and Theory 41, 46-58, 2014	3	2014
An axiomatic nonparametric production function estimator: modeling production in Japan's cardboard industry D Yagi, Y Chen, AL Johnson, H Morita arXiv preprint arXiv:1906.08359, 2019	2	2019
Theory and Application of Local Weighted Shape Constrained Estimators for Analyzing Census of Manufacturing Data D Yagi		2018

Systemet kan inte utföra åtgärden just nu. Försök igen senare.

Artiklar 1–5