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parametric inference
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Parametric inference of generalized process capability index Cpyk for the power Lindley distribution
Quality Technology & Quantitative Management
◽
10.1080/16843703.2021.1944966
◽
2021
◽
pp. 1-34
Author(s):
Sumit Kumar
◽
Abhimanyu Singh Yadav
◽
Sanku Dey
◽
Mahendra Saha
Keyword(s):
Process Capability
◽
Process Capability Index
◽
Parametric Inference
◽
Lindley Distribution
◽
Capability Index
◽
Power Lindley Distribution
◽
Generalized Process Capability Index
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Second‐order semi‐parametric inference for multivariate log Gaussian Cox processes
Journal of the Royal Statistical Society Series C (Applied Statistics)
◽
10.1111/rssc.12530
◽
2021
◽
Author(s):
Kristian Bjørn Hessellund
◽
Ganggang Xu
◽
Yongtao Guan
◽
Rasmus Waagepetersen
Keyword(s):
Second Order
◽
Parametric Inference
◽
Cox Processes
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Parametric inference of the loss based index Cpm for normal distribution
Quality and Reliability Engineering International
◽
10.1002/qre.2987
◽
2021
◽
Author(s):
Mahendra Saha
◽
Sanku Dey
◽
Liang Wang
Keyword(s):
Normal Distribution
◽
Parametric Inference
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Parametric inference of the process capability index for exponentiated exponential distribution
Journal of Applied Statistics
◽
10.1080/02664763.2021.1971632
◽
2021
◽
pp. 1-25
Author(s):
Mahendra Saha
◽
Sanku Dey
◽
Saralees Nadarajah
Keyword(s):
Exponential Distribution
◽
Process Capability
◽
Process Capability Index
◽
Parametric Inference
◽
Capability Index
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Probabilistic properties and parametric inference of small variance nonlinear self-stabilizing stochastic differential equations
Stochastic Processes and their Applications
◽
10.1016/j.spa.2021.09.002
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2021
◽
Author(s):
Valentine Genon-Catalot
◽
Catherine Larédo
Keyword(s):
Differential Equations
◽
Stochastic Differential Equations
◽
Parametric Inference
◽
Small Variance
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Robust parametric inference for finite Markov chains
Test
◽
10.1007/s11749-021-00771-1
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2021
◽
Author(s):
Abhik Ghosh
Keyword(s):
Markov Chains
◽
Parametric Inference
◽
Finite Markov Chains
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Parametric inference for stochastic differential equations driven by a mixed fractional Brownian motion with random effects based on discrete observations
Stochastic Analysis and Applications
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10.1080/07362994.2021.1902352
◽
2021
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pp. 1-12
Author(s):
B.L.S. Prakasa Rao
Keyword(s):
Brownian Motion
◽
Differential Equations
◽
Stochastic Differential Equations
◽
Fractional Brownian Motion
◽
Random Effects
◽
Parametric Inference
◽
Discrete Observations
◽
Mixed Fractional Brownian Motion
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Correction: Parametric inference of Akash distribution for Type-Ⅱ censoring with analyzing of relief times of patients
AIMS Mathematics
◽
10.3934/math.2021746
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2021
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Vol 6
(11)
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pp. 12911-12912
Author(s):
Tahani A. Abushal
◽
Keyword(s):
Parametric Inference
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RSS in Other Parameteric and Non-parametric Inference
Advanced Sampling Methods
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10.1007/978-981-16-0622-9_20
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2021
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pp. 275-287
Author(s):
Raosaheb Latpate
◽
Jayant Kshirsagar
◽
Vinod Kumar Gupta
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Girish Chandra
Keyword(s):
Parametric Inference
◽
Non Parametric
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Parametric inference for small variance and long time horizon McKean-Vlasov diffusion models
Electronic Journal of Statistics
◽
10.1214/21-ejs1922
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2021
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Vol 15
(2)
◽
Author(s):
Valentine Genon-Catalot
◽
Catherine Larédo
Keyword(s):
Time Horizon
◽
Diffusion Models
◽
Parametric Inference
◽
Small Variance
◽
Long Time
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