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1
Second- and third-order bias reduction for one-parameter family models
Second- and third-order bias reduction for one-parameter family models
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Second- and third-order bias reduction for one-parameter family models

Sílvia Lopes de Paula Ferrari Denise Aparecida Botter; Gauss Moutinho Cordeiro; Francisco Cribari Neto

Statistics & Probability Letters Abingdon v. 30, n. 4, p. 339-345, 1996

Abingdon 1996

Available at IME - Inst. Matemática e Estatística    (PROD-2999738 )(GetIt)

2
Copas’ method is sensitive to different mechanisms of publication bias
Copas’ method is sensitive to different mechanisms of publication bias
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Copas’ method is sensitive to different mechanisms of publication bias

Almalik, Osama ; Zhan, Zhuozhao ; van den Heuvel, Edwin R.

Statistics & probability letters, 2023-03, Vol.194, p.109733, Article 109733 [Peer Reviewed Journal]

Elsevier B.V

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3
Lower bounds for the trade-off between bias and mean absolute deviation
Lower bounds for the trade-off between bias and mean absolute deviation
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Lower bounds for the trade-off between bias and mean absolute deviation

Derumigny, Alexis ; Schmidt-Hieber, Johannes

Statistics & probability letters, 2024-10, Vol.213, p.110182, Article 110182 [Peer Reviewed Journal]

Elsevier B.V

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4
Uniform convergence results for the local linear regression estimation of the conditional distribution
Uniform convergence results for the local linear regression estimation of the conditional distribution
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Uniform convergence results for the local linear regression estimation of the conditional distribution

Xie, Haitian

Statistics & probability letters, 2023-10, Vol.201, p.109886, Article 109886 [Peer Reviewed Journal]

Elsevier B.V

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5
Conjugate priors and bias reduction for logistic regression models
Conjugate priors and bias reduction for logistic regression models
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Conjugate priors and bias reduction for logistic regression models

Rigon, Tommaso ; Aliverti, Emanuele

Statistics & probability letters, 2023-11, Vol.202, p.109901, Article 109901 [Peer Reviewed Journal]

Elsevier B.V

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6
Bias results for nondifferential mismeasurement of a binary confounder
Bias results for nondifferential mismeasurement of a binary confounder
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Bias results for nondifferential mismeasurement of a binary confounder

Sjölander, Arvid ; Peña, Jose M. ; Gabriel, Erin E.

Statistics & probability letters, 2022-07, Vol.186, p.109474, Article 109474 [Peer Reviewed Journal]

Elsevier B.V

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7
Nonparametric recursive regression estimation on Riemannian Manifolds
Nonparametric recursive regression estimation on Riemannian Manifolds
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Nonparametric recursive regression estimation on Riemannian Manifolds

Khardani, Salah ; Yao, Anne Françoise

Statistics & probability letters, 2022-03, Vol.182, p.109274, Article 109274 [Peer Reviewed Journal]

Elsevier B.V

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8
Bias-correction of some estimators in the INAR(1) process
Bias-correction of some estimators in the INAR(1) process
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Bias-correction of some estimators in the INAR(1) process

Zeng, Xiaoqiang ; Kakizawa, Yoshihide

Statistics & probability letters, 2022-08, Vol.187, p.109503, Article 109503 [Peer Reviewed Journal]

Elsevier B.V

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9
Statistics in the big data era: Failures of the machine
Statistics in the big data era: Failures of the machine
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Statistics in the big data era: Failures of the machine

Dunson, David B.

Statistics & probability letters, 2018-05, Vol.136, p.4-9 [Peer Reviewed Journal]

Elsevier B.V

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10
Reducing bias in nonparametric density estimation via bandwidth dependent kernels: L1 view
Reducing bias in nonparametric density estimation via bandwidth dependent kernels: L1 view
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Reducing bias in nonparametric density estimation via bandwidth dependent kernels: L1 view

Mynbaev, Kairat ; Martins-Filho, Carlos

Statistics & probability letters, 2017-04, Vol.123, p.17-22 [Peer Reviewed Journal]

Elsevier B.V

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