Dette, Holger

Melas, Viatcheslav B.

Strigul, Nikolay

English

Research Papers in Economics

A Bayesian approach to the ecosystem inverse problem

A Bayesian method of estimating kinetic parameters for the inactivation of Cryptosporidium parvum oocysts with chlorine dioxide and ozone

A common basis for survival, growth, and autocatalysis //

A dynamic approach to predicting bacterial growth in food //

A non-autonomous diﬀerential equation to model bacterial growth //

A note on D-optimal designs for a logistic regression model

A note on optimal Bayesian design for nonlinear problems

A numerical identiﬁability test for state-space modelsapplication to optimal experimental design

A relative-leastsquares technique to determine unique Monod kinetic parameters of BTEX compounds using batch experiments //

A simpliﬁed method to assess structurally identiﬁable parameters in Monod-based activated sludge models

A technique for obtaining representative biokinetic parameter values from replicate sets of parameter estimates

A uniﬁed theory for microbial growth under multiple nutrient limitation

Adaptive Parameter Estimation for

An evaluation of population D- optimal designs via pharmacokinetic simulations //

An outline of the dynamics of animal populations //

Applications of population approaches in toxicology

Assessment of a two-step nitriﬁcation model for activated sludge

Asymptotic properties of non-linear least squares estimators.

Bayesian D-optimal designs for exponential regression models

Bayesian D-optimal designs for the exponential growth model

Bayesian design of experiment for quantal responses: What is promised versus what is delivered

Bayesian experimental design: a review //

Bayesian methods in plant conservation biology //

Bayesian optimal one point designs for one parameter nonlinear models

Bioreactors: a chemical engineering perspective //

Characterization study of the sporulation kinetics of Bacillus thuringiensis

Comparing predicting models for the Escherichia coli inactivation by pulsed electric ﬁelds // Innov. Food Sci.

Corrected conﬁdence sets for sequentially designed experiments:

D- and c-optimal designs for exponential regression models used in viral dynamics and other applications

D-optimum designs for heteroscedastic linear models.

Data and knowledge based experimental design for fermentation process optimization

Design of experiments for the precise estimation of doseresponse parameters: the Hill equation //

DESIGN: computerized optimization of experimental design for estimating Kd and Bmax in ligand binding experiments. I. Homologous and heterologous binding to one or two classes of sites //

Determination of Monod Kinetic Coeﬃcients for Volatile Hydrophobic Organic Compounds //

Discrimination of models and parameter estimation of the ligand-receptor interactions // In: Modern problems of biokinetics, 198–255,

Dose-response functions in aquatic toxicity testing and the Weibull model

Dynamic modeling of bacteria in a pilot drinking-water distribution system

E-optimal designs for the Michaelis-Menten model

Ecotoxicological assays with algae: Weibull doseresponse curves //

Eﬀective experimental design: enzyme kinetics in the bioinformatics era //

Eﬃcient and accurate experimental design for enzyme kinetics: Bayesian studies reveal a systematic approach

Eﬃcient design of experiments in

Eﬃcient design of experiments in the Monod model.

Eﬃcient sequential designs with binary data.

Elements of Physical Biology,

Estimating (combinations of) activated sludge model no. 1 parameters and components by respirometry //

Estimating the parameters of the Baranyi model for bacterial growth //

Estimation of uncertainty and variability in bacterial growth using Bayesian inference. Application to Listeria monocytogenes //

Explicit oxygen concentration expression for estimating extant biodegradation kinetics from respirometric experiments //

Growth equations: A general equation and a survey of special cases

Growth of bacterial cultures” 50 years on: towards an uncertainty principle instead of constants in bacterial growth kinetics //

Inference on sequential design //

Introducing optimal experimental design in predictive modeling: A motivating example //

Investigation of the nonlinear regression Monod model by stochastic simulation / In: Statistical models with applications to econometrics and related

Lactic acid production from lactose by Lactobacillus plantarum: kinetic model and eﬀects of pH, substrate,

Locally optimal design for estimator parameters.

Mathematical models in microbiology: mathematical tool-kit // In: Mathematics

Mathematical models of bacteria growth, inhibition and death under combinated stress conditions

Mathematics of predictive food microbiology //

Maximin and Bayesian for heteroscedastic polynomial regression models // Preprint Ruhr-Universit¨ at Bochum,

Maximin and Bayesian optimal designs for regression models // Preprint Ruhr-Universit¨ at Bochum,

Maximin eﬃcient designs for estimating nonlinear aspects in linear models

Maximin Optimal Designs for the Compartmental Model // Preprint Ruhr-Universit¨ at Bochum.,

Measurement and Validation of Kinetic Parameter Values for Prediction of Biodegradation Rates

Microbial Growth and Survival: Developments in Predictive Modelling

Microbial survival curves – the reality of ﬂat ”shoulders” and absolute thermal death times // Food Res.

Model-parameter estimation using least squares

Modeling microbial populations with the original and modiﬁed versions of the continuous and discrete logistic equations

Monte Carlo analysis as a tool to incorporate variation on experimental data in predictive microbiology

New strategies for estimating kinetic parameters in anaerobic wastewater treatment plants

On the dangers of adjusting the parameters values of mechanism-based mathematical models

On the design of optimal dynamic experiments for parameter estimation of a Ratkowsky-type growth kinetics at suboptimal temperatures //

On the practical identiﬁability of microbial growth models incorporating Michaelis-Menten type nonlinearities //

On the use of the Weibull model to describe thermal inactivation of microbial vegetative cells //

Optimal Bayesian design applied to logistic regression experiments

Optimal control theory: A generic tool for identiﬁcation and control of (bio-)chemical reactors

Optimal design for goodness-of-ﬁt of MichaelisMenten enzyme kinetics // Preprint Ruhr-Universit¨ at Bochum.,

Optimal design of experiments,

Optimal design.

Optimal designs for criteria involving log(potency) in comparative binary bioassays

Optimal designs for experimental designs on linearly independent support points

Optimal experimental design for estimating the kinetic parameters of processes described by the ﬁrst-order Arrhenius model under linearly increasing temperature proﬁles //

Optimal Experimental Design for Estimating the Kinetic Parameters of Processes Described by the Weibull Probability Distribution Function //

Optimal Experimental Design for Estimating the Kinetic Parameters of the Bigelow Model

Optimal experimental design for parameter estimation in unstructured growth models //

Optimal experimental design for practical identiﬁcation of unstructured growth models //

Optimal temperature input design for estimation of the Square Root model parameters: parameter accuracy and model validity restrictions //

Optimal’ designs for drug, neurotransmitter and hormone receptor assays

Optimization of sampling /

Optimizing conditions for the growth of Lactobacillus casei YIT 9018 in tryptone-yeast extract-glucose medium by using response surface methodology //

Pepelyshev (2003a). Standardized maximin E-optimal designs for the Michaelis Menten model //

POPED, a software for optimal experiment design in population kinetics // Comput. Methods Programs Biomed.,

Practical identiﬁability of a biokinetic model of activated sludge respiration

Predictive microbiology: providing a knowledge-based framework for change management //

Predictive microbiology: towards the interface and beyond //

Principles of microbe and cell cultivation,

Probabilistic neural networks using Bayesian decision strategies and a modiﬁed Gompertz model for growth phase classiﬁcation in the batch culture of Bacillus subtilis

Procedures for parameter and state estimation of microbial growth process models //

Reinterpretation of microbial survival curves

Resistant ﬁts for some commonly used logistic models with medical application //

Design of experiments for microbiological models

http://econstor.eu/bitstream/10419/49316/1/37908337X.pdf

Design of experiments for microbiological models

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Research Papers in Economics