V. Melas

发表

Functional Approach to Optimal Experimental Design

V. Melas, 2005 .

Optimal design of experiments with simulation models of nearly saturated queues

J. Kleijnen, V. Melas, R. Cheng, 2000 .

Optimal designs for statistical analysis with Zernike polynomials

V. Melas, H. Dette, A. Pepelyshev, 2007 .

T-optimal designs for discrimination between two polynomial models

V. Melas, H. Dette, P. Shpilev, 2012, 1205.6283.

Robust T-optimal discriminating designs

V. Melas, H. Dette, P. Shpilev, 2013, 1309.4652.

Standardized Maximin E-optimal Designs for the Michaelis Menten Model

Holger Dette, Viatcheslav B. Melas, Andrey Pepelyshev, 2002 .

Optimal designs for estimating individual coefficients in Fourier regression models

Holger Dette, Viatcheslav B. Melas, V. Melas, 2003 .

Optimal discrimination designs for semiparametric models

V. Melas, H. Dette, W. Wong, 2016, 1612.00328.

Optimal designs for estimating the slope of a regression

V. Melas, H. Dette, A. Pepelyshev, 2010 .

On the functional approach to optimal designs for nonlinear models

V. Melas, 2005 .

Optimal designs for estimating pairs of coefficients in Fourier regression models

V. Melas, H. Dette, 2008 .

Optimal designs for estimating the coefficients of the lower frequencies in trigonometric regression models

V. Melas, H. Dette, Piter Shpilev, 2007 .

Optimal designs for 3D shape analysis with spherical harmonic descriptors

V. Melas, H. Dette, A. Pepelyshev, 2004 .

On the optimal choice of the number of empirical Fourier coefficients for comparison of regression curves

V. Melas, A. Pepelyshev, L. Salmaso, 2015 .

Functional Approach to Optimal Experimental Design (Lecture Notes in Statistics)

Viatcheslav B. Melas, V. Melas, 2005 .

SFB 823 Robust T-optimal discriminating designs

V. Melas, 2012 .

Optimal design for smoothing splines

V. Melas, H. Dette, A. Pepelyshev, 2011 .

Optimal designs for free knot least squares splines

V. Melas, H. Dette, A. Pepelyshev, 2006 .

D-Optimal Designs for Trigonometric Regression Models on a Partial Circle

V. Melas, H. Dette, A. Pepelyshev, 2002 .

T -optimal designs for discrimination between rational and polynomial models

V. Melas, Roman Guchenko, 2017 .

SFB 823 Optimal discrimination designs for semi-parametric models

V. Melas, Roman Guchenko, R. Guchenko, 2016 .

SFB 823 Efficient computation of Bayesian optimal discriminating designs

V. Melas, Roman Guchenko, 2015 .

SFB 823 Bayesian T-optimal discriminating designs

V. Melas, 2014 .

Numerical comparison of classical and permutation statistical hypothesis testing methods

V. Melas, D. I. Salnikov, A. O. Gudulina, 2016 .

On Standardized Maximin Designs for Discrimination Between Two Polynomial Models

V. Melas, 2013 .

On The Efficiency Of The Splitting And Roulette Approach For Sensitivity Analysis

V. Melas, 1997, Winter Simulation Conference Proceedings,.

Optimal designs for a class of nonlinear regression models

V. Melas, H. Dette, A. Pepelyshev, 2004, math/0503677.

Excess of locally D-optimal designs for Cobb–Douglas model

V. Melas, P. Shpilev, Y. Grigoriev, 2018, Statistical Papers.

Some explicit solutions of c-optimal design problems for polynomial regression with no intercept

V. Melas, H. Dette, P. Shpilev, 2019, Annals of the Institute of Statistical Mathematics.

Explicit T -optimal Designs for Trigonometric Regression Models

V. Melas, P. Shpilev, 2015 .

Optimal designs for three-dimensional shape analysis with spherical harmonic descriptors

V. Melas, H. Dette, A. Pepelyshev, 2005, math/0603075.

E-optimal designs in Fourier regression models on a partial circle

V. Melas, H. Dette, 2001 .

Constructing c-Optimal Designs for Polynomial Regression without an Intercept

V. Melas, P. Shpilev, 2020, Vestnik St. Petersburg University, Mathematics.

New insights on permutation approach for hypothesis testing on functional data

V. Melas, A. Pepelyshev, L. Salmaso, 2014, Advances in Data Analysis and Classification.

A note on optimal designs for estimating the slope of a polynomial regression

V. Melas, H. Dette, P. Shpilev, 2020, 2009.08853.

Optimal designs for estimating individual coefficients in polynomial regression with no intercept

V. Melas, H. Dette, P. Shpilev, 2019, Statistics & Probability Letters.

Some explicit solutions of c-optimal design problems for polynomial regression with no intercept

V. Melas, H. Dette, P. Shpilev, 2019, Annals of the Institute of Statistical Mathematics.

Efficient design of experiments in the Monod model

Holger Dette, Andrey Pepelyshev, B. Melas Viatcheslav, 2003 .

On the Functional Approach to Bayesian Efficient Designs for Nonlinear Regression Models

V. Melas, P. Shpilev, 2012 .

Uniform coverage designs for mixture experiments

Viatcheslav B. Melas, Irene Poli, Andrey Pepelyshev, 2009 .

A practical guide for optimal designs of experiments in the Monod model

Holger Dette, Viatcheslav B. Melas, Nikolay S. Strigul, 2009, Environ. Model. Softw..

D-efficient Bayesian Designs for a Class of Nonlinear Models

V. Melas, Yury M. Staroselskiy, 2008 .

D-optimal Designs for Nonlinear Models Possessing a Chebyshev Property

V. Melas, 2007 .

Local c- and E-optimal Designs for Exponential Regression Models

Holger Dette, Viatcheslav B. Melas, Andrey Pepelyshev, 2006 .

On a Functional Approach to Locally Optimal Designs

V. B. Melas, V. Melas, 2004 .

Locally D-optimal Designs for Exponential Regression

Holger Dette, Weng Kee Wong, Viatcheslav B. Melas, 2004 .

Locally E-optimal designs for expo-nential regression models

Holger Dette, Viatcheslav B. Melas, Andrey Pepelyshev, 2003 .

Design of experiments for microbiological models

Holger Dette, Nikolay Strigul, Viatcheslav B. Melas, 2003 .

Analytical Theory of E-optimal Designs for Polynomial Regression

V. Melas, 2000 .

T-optimal discriminating designs for Fourier regression models

Holger Dette, Viatcheslav B. Melas, Petr Shpilev, 2015, Comput. Stat. Data Anal..

Standardized maximin criterion for discrimination and parameter estimation of nested models

V. Melas, R. Guchenko, V. Strashko, 2020, Commun. Stat. Simul. Comput..

L-Optimal Designs for a Trigonometric Fourier Regression Model with no Intercept

V. Melas, P. Shpilev, 2022, Vestnik St. Petersburg University, Mathematics.

Branching Technique for Markov Chain Simulation (Finite State Case)

V. B. Melas, V. Melas, 1994 .

Efficient Computation of Bayesian Optimal Discriminating Designs

Holger Dette, Viatcheslav B. Melas, Roman Guchenko, 2015, 1508.00279.

New insights on permutation approach for hypothesis testing on functional data

Luigi Salmaso, Viatcheslav B. Melas, Livio Corain, 2014, Adv. Data Anal. Classif..

Excess of locally D-optimal designs for Cobb–Douglas model

V. Melas, P. Shpilev, Y. Grigoriev, 2018, Statistical Papers.

Excess of locally D-optimal designs and homothetic transformations

V. Melas, P. Shpilev, Y. Grigoriev, 2017 .

Excess of locally D-optimal designs and homothetic transformations

V. Melas, P. Shpilev, Y. Grigoriev, 2017, Vestnik St. Petersburg University, Mathematics.

OPTIMAL DESIGNS FOR ESTIMATING THE DERIVATIVE IN NONLINEAR REGRESSION

V. Melas, H. Dette, P. Shpilev, 2011 .

Optimal designs for estimating the slope in nonlinear regression

V. Melas, H. Dette, P. Shpilev, 2009 .

Robust and efficient design of experiments for the Monod model.

Holger Dette, Andrey Pepelyshev, Nikolay Strigul, 2005, Journal of theoretical biology.

Design of Experiments for the Monod Model - Robust and Efficient Designs

Holger Dette, Nikolay Strigul, Viatcheslav B. Melas, 2004 .

On representing maximin efficient designs by Taylor series

V. Melas, A. Pepelyshev, 2007 .

Optimal designs for estimating individual coefficients in polynomial regression: a functional approach

V. Melas, H. Dette, A. Pepelyshev, 2001 .

Optimal designs for smoothing splines

V. Melas, H. Dette, A. Pepelyshev, 2007 .

Bayesian T-optimal discriminating designs.

Holger Dette, Viatcheslav B Melas, Roman Guchenko, 2014, Annals of statistics.

A note on the de la Garza phenomenon for locally optimal designs

Holger Dette, Viatcheslav B. Melas, V. Melas, 2011, 1105.3575.

Numerical comparison of classical and permutation statistical hypothesis testing methods

V. Melas, A. O. Gudulina, D. I. Sal’nikov, 2016, Vestnik St. Petersburg University: Mathematics.

Optimal Design for Goodness-of-Fit of the Michaelis–Menten Enzyme Kinetic Function

Holger Dette, Weng Kee Wong, Viatcheslav B. Melas, 2005 .

Excess and saturated D-optimal designs for the rational model

V. Melas, P. Shpilev, Y. Grigoriev, 2019, Statistical Papers.

A Discussion on Nonlinear Models for Price Decisions in Rating-Based Product Preference Models

Luigi Salmaso, Viatcheslav B. Melas, Livio Corain, 2009, Commun. Stat. Simul. Comput..

A note on all-bias designs with applications in spline regression models

Holger Dette, Viatcheslav B. Melas, V. Melas, 2010 .

Analytical Properties of Locally D -optimal Designs for Rational Models

V. Melas, 2001 .

Optimal Design Approach to GMM Estimation of Parameters Based on Empirical Transforms

V. Melas, S. Meintanis, Maria P. Braun, 2008 .

On the Functional Approach to Locally D-Optimum Design for Multiresponse Models

V. Melas, D. Ucinski, L. Krylova, 2013 .

Designs for estimating an extremal point of quadratic regression models in a hyperball

Russell C. H. Cheng, Viatcheslav B. Melas, Andrey Pepelyshev, 2003 .