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Case Study of Binary Hypothesis Test Using ML

open access: yesEngineering Proceedings
Artificial intelligence has attracted much attention due to its learning capability to solve versatile problems. Using a convolutional neural network in machine learning (ML), we investigated the binary hypothesis test, which is a fundamental problem in ...
Shang-Hua Chin, Cheng-Yu Chin
doaj   +1 more source

Testing When a Parameter Is on the Boundary of the Maintained Hypothesis [PDF]

open access: yes
This paper considers testing problems where several of the standard regularity conditions fail to hold. We consider the case where (i) parameter vectors in the null hypothesis may lie on the boundary of the maintained hypothesis and (ii) there may be a ...
Donald W.K. Andrews
core  

Estimation and Statistical Test in Bivariate Binary Probit Model

open access: yesJurnal Ilmu Dasar, 2012
One of the models that can be used to analyze two binary response variables data is bivariate binary probit model. This paper tried to estimate the parameters of bivariate binary probit model using Maximum Likelihood Estimationmethod, whereastoget the ...
Vita Ratnasari   +3 more
doaj  

Maximum Likelihood Estimation And Likelihood Ratio Test Revisited

open access: yes, 2017
{"references": ["[1]. Fisher, R. A. (1925, July). Theory of statistical estimation. In Mathematical Proceedings of the Cambridge Philosophical Society (Vol. 22, No. 05, pp. 700-725). Cambridge University Press.", "[2]. Myung, I. J. (2003). Tutorial on maximum likelihood estimation. Journal of mathematical Psychology, 47(1), 90-100.", "[3]. Self, S. G.,
openaire   +1 more source

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