Andrej Pazman

Andrej Pazman's AcademicInfluence.com Rankings

Andrej Pazman

Mathematics

#7866

World Rank

#10678

Historical Rank

Number Theory

#326

World Rank

#406

Historical Rank

Algebra

#538

World Rank

#713

Historical Rank

Measure Theory

#3102

World Rank

#3679

Historical Rank

mathematics Degrees

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Mathematics

Why Is Andrej Pazman Influential?

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According to Wikipedia, Andrej Pázman is a Slovak mathematician working in the area of optimum experimental design and in the theory of nonlinear statistical models. He is an elected fellow of the International Statistical Institute , of the Learned Society of SAS and also a member of the Royal Statistical Society . He wrote also several books, three of them are monographs published in English. Today there are all presented by Springer. He obtained the Price of the Slovak Literary Fund for the Nonlinear statistical models . In 2004, he obtained the WU Best Paper Award der Stadt Wien , in 2008, the Golden Medal of the rector of CU Bratislava, in 2014, the Golden Medal of SAS and also the Price for Science and Technology from the Minister of Education of Slovakia. He is currently a professor at Comenius University Bratislava.

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Andrej Pazman's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Nonlinear Regression (2011) (1468)
Foundations of Optimum Experimental Design (1986) (364)
Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties (2013) (108)
Applications of necessary and sufficient conditions for maximin efficient designs (1998) (91)
Measures for designs in experiments with correlated errors (2003) (75)
Nonlinear Statistical Models (1993) (55)
Optimal design of experiments subject to correlated errors (2001) (48)
An algorithm for the computation of optimum designs under a given covariance structure (1999) (45)
Criteria for optimal design of small-sample experiments with correlated observations (2007) (40)
Probability distribution of the multivariate nonlinear least squares estimates (1984) (36)
Nonlinear experimental design based on the distribution of estimators (1992) (34)
Nonlinear least squares - uniqueness versus ambiguity (1984) (32)
Design measures and approximate information matrices for experiments without replications (1998) (26)
Bias of LS estimators in nonlinear regression models with constraints. Part II: Biadditive Models (1999) (24)
Design of Physical Experiments (Statistical Methods) (1968) (24)
Designs in nonlinear regression by stochastic minimization of functionals of the mean square error matrix (2006) (18)
Geometry of Gaussian nonlinear regression. Parallel curves and confidence intervals (1982) (17)
A Convergence Theorem in the Theory of $D$-Optimum Experimental Designs (1974) (17)
Correlated optimum design with parametrized covariance function. Justification of the Fisher information matrix and of the method of virtual noise. (2004) (15)
A New Interpretation of Design Measures (1998) (13)
A Dirac-function method for densities of nonlinear statistics and for marginal densities in nonlinear regression (1996) (13)
Information contained in design points of experiments with correlated observations (2010) (12)
On Formulas for the Distribution of Nonlinear L.S. Estimates (1987) (12)
On the irregular behavior of LS estimators for asymptotically singular designs (2006) (10)
Quantile and Probability-level Criteria for Nonlinear Experimental Design (2007) (9)
Algorithms: A Survey (2013) (9)
Hilbert-space methods in experimental design (1978) (9)
Optimal design of experiments via linear programming (2015) (9)
Erratum: Second-order approximation of the entropy in nonlinear least-squares estimation (1996) (8)
The ordering of experimental designs. A Hilbert space approach (1974) (8)
Some features of the optimal design theory – a survey (1980) (8)
Second-order approximation of the entropy in nonlinear least-squares estimation (1994) (8)
Bias of LS estimators in nonlinear regression models with constraints. Part I: General Case (1999) (8)
Almost exact distributions of estimators ii- hat nonlinear regression models (1990) (8)
Higher Dimensional Nonlinear Regression-A Statistical Use of the Riemannian Curvature Tensor (1993) (7)
Asymptotic Normality of Nonlinear Least Squares under Singular Experimental Designs (2009) (7)
Singular experimental designs (standard and HILBEKT-space approaches) (1980) (7)
Optimal design of nonlinear experiments with parameter constraints (2002) (7)
Computation of the Optimum Designs Under Singular Information Matrices (1978) (7)
On information matrices in nonlinear experimental design (1989) (6)
A classification of nonlinear regression models and parameter confidence regions (1992) (6)
Asymptotic criteria for designs in nonlinear regression with model errors (2006) (6)
Results on nonlinear least squares estimators under nonlinear equality constraints (2002) (6)
Simultaneous Choice of Design and Estimator in Nonlinear Regression with Parameterized Variance (2004) (5)
Testing of analyticity of the πN forward scattering amplitude and the determination of the πN coupling constant (1972) (5)
CONCENTRATION SETS, ELFVING SETS AND NORMS IN OPTIMUM DESIGN (2001) (5)
On the uniqueness of the M. L. estimates in curved exponential families (1986) (5)
Using densities of estimators to compare pharmacokinetic experiments (2001) (5)
Measures of nonlinearity for a biadditive ANOVA model (2002) (5)
Recursively re-weighted least-squares estimation in regression models with parameterized variance (2004) (4)
Almost exact distributions of estimators I-low dimensional nonlinear regression (1990) (4)
The density of the parameter estimators when the observations are distributed exponentially (1996) (4)
Bias Correction in Nonlinear Regression via Two-Stages Least-Squares Estimation (1994) (4)
GEOMETRY OF THE NONLINEAR REGRESSION WITH PRIOR (1992) (4)
A Note on the Relationship between Two Approaches to Optimal Design under Correlation (2010) (4)
Approximate Densities of Two Bias-Corrected Nonlinear LS Estimators (1998) (3)
Design Measures and Extended Information Matrices for Optimal Designs when the Observations are Correlated (1995) (3)
Densities of Nonlinear Functions of the Nonlinear Least-Squares Estimator (1994) (3)
Asymptotic Properties of M, ML, and Maximum A Posteriori Estimators (2013) (2)
Extended optimality criteria for optimum design in nonlinear regression (2013) (2)
Optimal designs for the estimation of polynomial functionals (1981) (2)
Some Properties and Improvements of the Saddlepoint Approximation in Nonlinear Regression (1999) (2)
Distribution of the weighted L.S. estimates in nonlinear models with symmetrical errors (1988) (2)
The problem of the unambiguity of phase-shift analysis I (1969) (2)
MODIFICATIONS AND EXTENSIONS OF THE METHOD OF VIRTUAL NOISE IN CORRELATED EXPERIMENTAL DESIGN (2008) (1)
Optimum experimental designs with a lack of a priori information. I. Designs for the estimation of a finite-dimensional set of functionals (1975) (1)
Criteria Based on the Small-Sample Precision of the LS Estimator (2013) (1)
Extended Information Matrices for Optimal Designs when the Observations are Correlated II (1996) (1)
A Contribution to the Time Series Design Problems (1977) (1)
Optimum experimental designs with a lack of a priori information. II. Designs for the estimation of the whole response function (1976) (1)
Linear methods in nonlinear regression models (1993) (1)
Asymptotic Properties of the LS Estimator (2013) (1)
Polynomials of Parameters in the Regression Model — Estimation and Design (1982) (1)
On the Non-Asymptotic Distribution of the M.L. Estimates in Curved Exponential Families (1988) (1)
Linear regression models (1993) (1)
The Sequential Design of Experiments Performed at Several Measurement Points (1968) (1)
Statistical Experiment and Optimal Design (2011) (0)
STATISTICAL EXPERIMENTS AND OPTIMAL DESIGN (2011) (0)
Nonlocal Optimum Design (2013) (0)
Asymptotic Designs and Uniform Convergence (2013) (0)
Identifiability, Estimability, and Extended Optimality Criteria (2013) (0)
Optimum designs of experiments for uncorrelated observations on fields (1976) (0)
Strange Design Points in Linear Regression (2011) (0)
Mixture Sets and Convex Sets (1972) (0)
Distribution of the multivariate nonlinear LS estimator under an uncertain input (2019) (0)
Optimal design of experiments via linear programming (2016) (0)
Optimum nets (1974) (0)
THE DESIGN OF SPECIFYING AND DISCRIMINATING NN-SCATTERING EXPERIMENTS. (1967) (0)
A CLASSIFICATION OF NONLINEAR REGRESSION MODELS AND P A R A M E T E R CONFIDENCE REGIONS (2009) (0)
Distribution of the multivariate nonlinear LS estimator under an uncertain input (2019) (0)
CALCULATION OF THE DEFORMATION OF AMPLITUDE SPECTRA AS A RESULT OF PULSE PILEUP. (1969) (0)
The problem of the unambiguity of phase-shift analysis II (1969) (0)
Univariate regression models (1993) (0)
Nonlinear exponential families (1993) (0)
A sufficient statistic and a nonstandard linearization in nonlinear regression (1989) (0)
N--N SCATTERING PHASE-SHIFT ANALYSIS AT ENERGIES NEAR 20 MeV WITH A NEW METHOD OF PHASE-SHIFT SETS TESTING. (1968) (0)
The structure of a multivariate nonlinear regression model and properties of L 2 estimators (1993) (0)
On modified information matrices in nonlinear regression (1995) (0)
Nonlinear regression models: computation of estimators and curvatures (1993) (0)
Methods for approximating distribution of unknown parameters estimates with application in material thermophysics (2021) (0)
Matrix Analysis of The Information Content in Experiments with Correlated Observations (2009) (0)
Global approximations of densities of L 2 estimators (1993) (0)
Applications of Mathematics (1999) (0)
Small Size Designs in Nonlinear Models Computed by Stochastic Optimization (2004) (0)
Optimality criteria for design in nonlinear models with constraints (2012) (0)
Local Optimality Criteria Based on Asymptotic Normality (2013) (0)
Statistical consequences of global approximations especially in flat models (1993) (0)
The Geometry of Nonlinear Inference: Accounting of Prior and Boundaries (1994) (0)
Distribution of estimators and optimal experimental design in nonlinear regression (1996) (0)
Elimination of less informative design points in regression models with a known or parametrized covariance function (2005) (0)
Local approximations of probability densities and moments of estimators (1993) (0)
Sequential and iterative designs of experiments (1985) (0)

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What Schools Are Affiliated With Andrej Pazman?

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Comenius University

Andrej Pazman's Academic­Influence.com Rankings

Why Is Andrej Pazman Influential?

Andrej Pazman's Published Works

Published Works

Other Resources About Andrej Pazman

What Schools Are Affiliated With Andrej Pazman?

Andrej Pazman's AcademicInfluence.com Rankings