<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Optimization techniques perform an important role in different domains of statistic. Examples of parameter estimation of different distributions, correlation analysis (parametric and nonparametric), regression analysis, optimal allocation of resources in partial research, exploration of response surfaces, design of experiments, efficiency tests, reliability theory, survival analysis are the most known methods of statistical analysis in which we find optimization techniques.</p><p>The paper contains a synthetic presentation of the main statistical methods using classical optimization techniques, numerical optimization methods, linear and nonlinear programming, variational calculus techniques. Also, an example of applying the “simplex” algorithm in making a decision to invest an amount on the stock exchange, using a prediction model..</p></abstract>

Optimization techniques perform an important role in different domains of statistic. Examples of parameter estimation of different distributions, correlation analysis (parametric and nonparametric), regression analysis, optimal allocation of resources in partial research, exploration of response surfaces, design of experiments, efficiency tests, reliability theory, survival analysis are the most known methods of statistical analysis in which we find optimization techniques.The paper contains a synthetic presentation of the main statistical methods using classical optimization techniques, numerical optimization methods, linear and nonlinear programming, variational calculus techniques. Also, an example of applying the “simplex” algorithm in making a decision to invest an amount on the stock exchange, using a prediction model..

Statistical applications of optimization methods and mathematical programming

The Bucharest University of Economic Studies

Proceedings of the International Conference on Applied Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Statistical applications of optimization methods and mathematical programming"}

Optimization techniques perform an important role in different domains of statistic. Examples of parameter estimation of different distributions, correlation...

Statistical applications of optimization methods and mathematical programming

Published Online: Feb 13, 2020

Page range: 312 - 328

DOI: https://doi.org/10.2478/icas-2019-0028

Keywords
optimization techniques, statistics, mathematical programming

© 2019 Daniela-Ioana Manea et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Statistical applications of optimization methods and mathematical programming

Published Online: Feb 13, 2020

Page range: 312 - 328

DOI: https://doi.org/10.2478/icas-2019-0028

Keywordsoptimization techniques, statistics, mathematical programming

© 2019 Daniela-Ioana Manea et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
optimization techniques, statistics, mathematical programming