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Multinomial N‐mixture models for removal sampling

Biometrics, 2020-06, Vol.76 (2), p.540-548

Haines, Linda M.

2020

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Augmented Block Designs for Unreplicated Trials

Journal of agricultural, biological, and environmental statistics, 2021-09, Vol.26 (3), p.409-427

Haines, Linda M.

2021

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Maximum likelihood estimation for N-mixture models

Biometrics, 2016-12, Vol.72 (4), p.1235-1245

Haines, Linda M.

2016

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Competing designs for phase I clinical trials: a review

Statistics in medicine, 2002-09, Vol.21 (18), p.2757-2770

2002

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Exact likelihoods for N‐mixture models with time‐to‐detection data

Australian & New Zealand journal of statistics, 2023-12, Vol.65 (4), p.327-343

2023

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Bayesian Optimal Designs for Phase I Clinical Trials

Biometrics, 2003-09, Vol.59 (3), p.591-600

2003

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Start-up designs for response-adaptive randomization procedures with sequential estimation

Statistics in medicine, 2015-09, Vol.34 (21), p.2958-2970

2015

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A Note on the Royle–Nichols Model for Repeated Detection–Nondetection Data

Journal of agricultural, biological, and environmental statistics, 2016-09, Vol.21 (3), p.588-598

Haines, Linda M.

2016

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Algorithmic construction of optimal block designs for two-colour cDNA microarray experiments using the linear mixed effects model

Communications in statistics. Simulation and computation, 2019-08, Vol.48 (7), p.1948-1963

2019

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Approximate I-optimal designs for polynomial models over the unit ball

Journal of statistical planning and inference, 2022-09, Vol.220, p.71-81

Haines, Linda M.

2022

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Commentary on 'Designs of dose-escalation trials with quantitative responses'

Statistics in medicine, 2009-12, Vol.28 (30), p.3742-3744

Haines, Linda M.

2009

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The Beta-Poisson Distribution in Wadley's Problem

Communications in statistics. Theory and methods, 2014-12, Vol.43 (23), p.4962-4971

2014

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The construction of D- and I-optimal designs for mixture experiments with linear constraints on the components

Chemometrics and intelligent laboratory systems, 2017-12, Vol.171, p.112-124

2017

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The analytic construction of D-optimal designs for the two-variable binary logistic regression model without interaction

Statistics (Berlin, DDR), 2015-09, Vol.49 (5), p.1169-1186

2015

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The Altham–Poisson distribution

Statistical modelling, 2015-10, Vol.15 (5), p.476-497

2015

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D- and V-optimal population designs for the quadratic regression model with a random intercept term

Journal of statistical planning and inference, 2011-02, Vol.141 (2), p.889-898

2011

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V - and D -optimal population designs for the simple linear regression model with a random intercept term

Journal of statistical planning and inference, 2008-04, Vol.138 (4), p.1116-1130

2008

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A statistical approach to the analytic hierarchy process with interval judgements. (I). Distributions on feasible regions

European journal of operational research, 1998-10, Vol.110 (1), p.112-125

Haines, Linda M.

1998

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The impact of spatial statistics in Africa

Spatial statistics, 2022-08, Vol.50, p.100580, Article 100580

2022

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Discussion: A general approach to D-optimal designs for weighted univariate polynomial regression models

Journal of the Korean Statistical Society, 2010, 39(1), , pp.35-37

Haines, Linda M.

2010

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Sequential designs for ordinal phase I clinical trials

Biometrical journal, 2009-04, Vol.51 (2), p.335-347

2009

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TESTING FOR PURCHASING POWER PARITY AND UNCOVERED INTEREST PARITY IN THE PRESENCE OF MONETARY AND EXCHANGE RATE REGIME SHIFTS

The South African Journal of economics, 2010-12, Vol.78 (4), p.363-382

2010

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Sequential Designs for Logistic Phase I Clinical Trials

Journal of biopharmaceutical statistics, 2006-10, Vol.16 (5), p.605-621

2006

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A comparison of plug-in predictors for lognormal kriging

Spatial statistics, 2016-05, Vol.16, p.152-167

2016

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An approach to simple bargaining games and related problems

Journal of statistical planning and inference, 2003-10, Vol.116 (2), p.353-366

Haines, Linda M.

2003

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Multinomial N‐mixture models for removal sampling

Augmented Block Designs for Unreplicated Trials

Maximum likelihood estimation for N-mixture models

Competing designs for phase I clinical trials: a review

Exact likelihoods for N‐mixture models with time‐to‐detection data

Bayesian Optimal Designs for Phase I Clinical Trials

Start-up designs for response-adaptive randomization procedures with sequential estimation

A Note on the Royle–Nichols Model for Repeated Detection–Nondetection Data

Algorithmic construction of optimal block designs for two-colour cDNA microarray experiments using the linear mixed effects model

Approximate I-optimal designs for polynomial models over the unit ball

Commentary on 'Designs of dose-escalation trials with quantitative responses'

The Beta-Poisson Distribution in Wadley's Problem

The construction of D- and I-optimal designs for mixture experiments with linear constraints on the components

The analytic construction of D-optimal designs for the two-variable binary logistic regression model without interaction

The Altham–Poisson distribution

D- and V-optimal population designs for the quadratic regression model with a random intercept term

V - and D -optimal population designs for the simple linear regression model with a random intercept term

A statistical approach to the analytic hierarchy process with interval judgements. (I). Distributions on feasible regions

The impact of spatial statistics in Africa

Discussion: A general approach to D-optimal designs for weighted univariate polynomial regression models

Sequential designs for ordinal phase I clinical trials

TESTING FOR PURCHASING POWER PARITY AND UNCOVERED INTEREST PARITY IN THE PRESENCE OF MONETARY AND EXCHANGE RATE REGIME SHIFTS

Sequential Designs for Logistic Phase I Clinical Trials

A comparison of plug-in predictors for lognormal kriging

An approach to simple bargaining games and related problems

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