Journal of Statistical Computation and Simulation, Volume 91, Issue 7 (2021)

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Journal of Statistical Computation and Simulation, Volume 91, Issue 7 (2021)

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Research Article

Article
Leveraging random assignment to impute missing covariates in causal studies
Gauri Kamat & Jerome P. Reiter
Pages: 1275-1305
Published online: 24 Nov 2020
AbstractforLeveraging random assignment to impute missing covariates in causal studies | Full Text | References | PDF (3.4 MB) | EPUB
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Article
The effect of measurement errors on the performance of the homogenously weighted moving average X¯ monitoring scheme with estimated parameters
Maonatlala Thanwane, Jean-Claude Malela-Majika, Philippe Castagliola & Sandile Charles Shongwe
Pages: 1306-1330
Published online: 02 Dec 2020
AbstractforThe effect of measurement errors on the performance of the homogenously weighted moving average X¯ monitoring scheme with estimated parameters | Full Text | References | PDF (3.4 MB) | EPUB
  • 137 Views
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Article
Fast matrix algebra for Bayesian model calibration
Kellin N. Rumsey & Gabriel Huerta
Pages: 1331-1341
Published online: 18 Dec 2020
AbstractforFast matrix algebra for Bayesian model calibration | Full Text | References | PDF (1.1 MB) | EPUB
  • 136 Views
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Article
On statistical classification with incomplete covariates via filtering
Majid Mojirsheibani & My-Nhi Nguyen
Pages: 1342-1365
Published online: 08 Dec 2020
AbstractforOn statistical classification with incomplete covariates via filtering | Full Text | References | PDF (2.9 MB) | EPUB
  • 72 Views
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Article
Estimation of stress–strength reliability for generalized Maxwell failure distribution under progressive first failure censoring
Shubham Saini, Ajit Chaturvedi & Renu Garg
Pages: 1366-1393
Published online: 28 Jan 2021
AbstractforEstimation of stress–strength reliability for generalized Maxwell failure distribution under progressive first failure censoring | Full Text | References | PDF (4.2 MB) | EPUB
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Article
A robust adaptive modified maximum likelihood estimator for the linear regression model
Sukru Acitas, Peter Filzmoser & Birdal Senoglu
Pages: 1394-1414
Published online: 08 Dec 2020
AbstractforA robust adaptive modified maximum likelihood estimator for the linear regression model | Full Text | References | PDF (1.8 MB) | EPUB
  • 369 Views
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Article
The comparison study of the model selection criteria on the Tobit regression model based on the bootstrap sample augmentation mechanisms
Yue Su & P. K. Mwanakatwe
Pages: 1415-1440
Published online: 09 Dec 2020
AbstractforThe comparison study of the model selection criteria on the Tobit regression model based on the bootstrap sample augmentation mechanisms | Full Text | References | PDF (2.2 MB) | EPUB
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Article
Identification for partially linear regression model with autoregressive errors
M. Kazemi, D. Shahsvani, M. Arashi & P. C. Rodrigues
Pages: 1441-1454
Published online: 30 Dec 2020
AbstractforIdentification for partially linear regression model with autoregressive errors | Full Text | References | PDF (1.5 MB) | EPUB
  • 156 Views
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Article
Local influence analysis of the 2PL IRT model for binary responses
E. Tsompanaki & C. Caroni
Pages: 1455-1477
Published online: 24 Dec 2020
AbstractforLocal influence analysis of the 2PL IRT model for binary responses | Full Text | References | PDF (1.9 MB) | EPUB
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Book Reviews

Book Review
Analysis of correlated data with SAS and R (4th ed.)
by Mohamed M. Shoukri, Boca Raton, FL, CRC Press, 2018, 497+xv pp., $139.95 (hardback), ISBN: 978-1-1381-9745-9
Christian T. K.-H. Stadtländer
Pages: 1478-1479
Published online: 28 Dec 2020
CitationforAnalysis of correlated data with SAS and R (4th ed.) | Full Text | PDF (197.3 KB) | EPUB
  • 65 Views
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Book Review
Seeing through statistics
by Jessica M. Utts, 200 First Samford Place, 4th Floor, Stamford, CT 06902, Cengage Learning Press, 2020, pp. 630+xxiv, $30.99 (Paperback), ISBN-13: 978-1-285-05088-1
Ramalingam Shanmugam
Page: 1480
Published online: 13 Aug 2020
CitationforSeeing through statistics | Full Text | PDF (135.4 KB) | EPUB
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Book Review
Modelling spatial and spatial-temporal data: a Bayesian approach
by Robert Haining and Guangquan Li, 2019, CRC Press, Boca Raton, FL, ISBN: 978-1-4822-3742-9 (hardcover), pp. 608+xxvi, $129.95
Ramalingam Shanmugam
Pages: 1480-1481
Published online: 13 Aug 2020
CitationforModelling spatial and spatial-temporal data: a Bayesian approach | Full Text | PDF (232.3 KB) | EPUB
  • 715 Views
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Free Access

Correction

Correction
Correction
Pages: 1482-1483
Published online: 11 Jan 2021
CitationforCorrection | Full Text | References | PDF (177.3 KB) | EPUB
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Free Access

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