Results 51 to 60 of about 650,631 (219)
The Annals of Statistics, 1976 For univariate distributions there is a generally accepted definition of unimodality due to Khintchine which requires the existence of a number $a$, called vertex, such that the distribution function is convex on $(-\infty, a)$ and concave on $(a, \infty)$.
Dharmadhikari, S. W., Jogdeo, Kumar
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Advances in Difference Equations, 2019 In this paper, we establish modified Saigo fractional integral operators involving the product of a general class of multivariable polynomials and the multivariable H-function.
D. L. Suthar +2 more
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High Performance multivariable spectral estimator with Bounded McMillan Degree [PDF]
, 2010 Spectral estimation is a prominent issue with applications in a widespread variety of fields, from signal processing to biology. To the present, multivariable spectral estimation with complexity constraints on the acceptable solutions is a challenging ...
Masiero, Chiara
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, 2019 Multivariable-adjusted cumulative incidence rate curves for diabetes during follow-up according to BMI categories.
Yuki Someya (770709) +6 more
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Jurnal Ilmiah SINERGI, 2016 Distillation columns are widely used in chemical industry as unit operation and required advance process control because it has multi input multi output (MIMO) or multi-variable system, which is hard to be controlled.
Abdul Wahid, Richi Adi
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On Multivariate Matsaev’s Conjecture [PDF]
Complex Analysis and Operator Theory, 2020 19 pages. This is well-written version and many corrections have been made.
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Multivariable-adjusted association of left ventricular diastolic function with dp-ucMGP.
, 2018 Multivariable-adjusted association of left ventricular diastolic function with dp-ucMGP.
Lutgarde Thijs (511286) +19 more
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, 2022 Multivariable-adjusted odds ratios (ORs) for disability and hazard ratios (HRs) for all-cause mortality adjusted for cardiovascular risk factors and kidney injury markers.
Ken-ichi Hirata (633762) +4 more
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Multi-variable integration with a neural network
Journal of High Energy Physics, 2023 In this article we present a method for automatic integration of parametric integrals over the unit hypercube using a neural network. The method fits a neural network to the primitive of the integrand using a loss function designed to minimize the ...
D. Maître, R. Santos-Mateos
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Detection of Multivariate Cyclostationarity [PDF]
IEEE Transactions on Signal Processing, 2015 This paper derives an asymptotic generalized likelihood ratio test (GLRT) and an asymptotic locally most powerful invariant test (LMPIT) for two hypothesis testing problems: 1) Is a vector-valued random process cyclostationary (CS) or is it wide-sense stationary (WSS)? 2) Is a vector-valued random process CS or is it nonstationary?
David Ramírez 0001 +4 more
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