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Journal of Applied Statistics Volume 35, 2008 - Issue 3
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Original Articles

Use of asymmetric loss functions in sequential estimation problems for multiple linear regression

Raghu Nandan Sengupta Department of Industrial and Management Engineering, Indian Institute of Technology Kanpur, Kanpur, 208 016, UP, IndiaCorrespondence[email protected]
Pages 245-261 | Published online: 13 Mar 2008

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Chia-Chen Yang & Leng-Cheng Hwang. (2015) Optimal, nearly optimal and robust procedures for the exponential distribution with relative linear exponential loss. Statistics 49:3, pages 549-563.
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Leng-Cheng Hwang. (2014) Asymptotic Non-Deficiency of Some Procedures for a Particular Exponential Family Under Relative LINEX Loss. Sequential Analysis 33:3, pages 345-359.
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Articles from other publishers (4)

Nhat-Duc Hoang. (2022) Compressive Strength Estimation of Rice Husk Ash-Blended Concrete Using Deep Neural Network Regression with an Asymmetric Loss Function. Iranian Journal of Science and Technology, Transactions of Civil Engineering 47:3, pages 1547-1565.
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Umesh Gupta & Deepak Gupta. (2019) An improved regularization based Lagrangian asymmetric ν-twin support vector regression using pinball loss function. Applied Intelligence 49:10, pages 3606-3627.
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Yitian Xu, Xiaoyan Li, Xianli Pan & Zhiji Yang. (2017) Asymmetric ν-twin support vector regression. Neural Computing and Applications 30:12, pages 3799-3814.
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Raghu Nandan Sengupta & Angana Sengupta. (2011) Some variants of adaptive sampling procedures and their applications. Computational Statistics & Data Analysis 55:12, pages 3183-3196.
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