Special issue on econometrics and operational research

Miroslav Maňas

The search session has expired. Please query the service again.

Displaying similar documents to “Special issue on econometrics and operational research”

The value of econometrics to economists in business and government: A study of the state of the discipline.

Sowey, Eric R. (2002)

Journal of Applied Mathematics and Decision Sciences

Similarity:

Alternative models in precipitation analysis.

Barbulescu, Alina, Bautu, Elena (2009)

Analele Ştiinţifice ale Universităţii “Ovidius" Constanţa. Seria: Matematică

Similarity:

Incomplete time series prediction using max-margin classification of data with absent features.

Zhaowei, Shang, Lingfeng, Zhang, Shangjun, Ma, Bin, Fang, Taiping, Zhang (2010)

Mathematical Problems in Engineering

Similarity:

Rough modeling - a bottom-up approach to model construction

Terje Loken, Jan Komorowski (2001)

International Journal of Applied Mathematics and Computer Science

Similarity:

Traditional data mining methods based on rough set theory focus on extracting models which are good at classifying unseen obj-ects. If one wants to uncover new knowledge from the data, the model must have a high descriptive quality-it must describe the data set in a clear and concise manner, without sacrificing classification performance. Rough modeling, introduced by Kowalczyk (1998), is an approach which aims at providing models with good predictive emphand descriptive qualities, in...

A rainfall forecasting method using machine learning models and its application to the Fukuoka city case

S. Monira Sumi, M. Faisal Zaman, Hideo Hirose (2012)

International Journal of Applied Mathematics and Computer Science

Similarity:

In the present article, an attempt is made to derive optimal data-driven machine learning methods for forecasting an average daily and monthly rainfall of the Fukuoka city in Japan. This comparative study is conducted concentrating on three aspects: modelling inputs, modelling methods and pre-processing techniques. A comparison between linear correlation analysis and average mutual information is made to find an optimal input technique. For the modelling of the rainfall, a novel hybrid...

Discussion and comments. Data mining et statistique

Richard D. De Veaux (2001)

Journal de la société française de statistique

Similarity:

Parameters in collective decision making models : estimation and sensitivity

Tom A. B. Snijders, Evelien P. H. Zeggelink, Frans N. Stokman (1997)

Mathématiques et Sciences Humaines

Similarity:

Simulation models for collective decision making are based on theoretical and empirical insight in the decision making process, but still contain a number of parameters of which the values are determined ad hoc. For the dynamic access model, some of such parameters are discussed, and it is proposed to extend the utility functions with a random term of which the variance also is an unknown parameter. These parameters can be estimated by fitting model predictions to data, where the predictions...

Research of financial early-warning model on evolutionary support vector machines based on genetic algorithms.

Zhang, Zuoquan, Lang, Fan, Zhao, Qin (2009)

Discrete Dynamics in Nature and Society

Similarity:

A comparison of parametric models for mortality graduation. Application to mortality data for the Valencia Region (Spain).

Ana Debón, Francisco Montes, Ramón Sala (2005)

SORT

Similarity:

The parametric graduation of mortality data has as its objective the satisfactory estimation of the death rates based on mortality data but using an age-dependent function whose parameters are adjusted from the crude rates obtainable directly from the data. This paper proposes a revision of the most commonly used parametric models and compares the result obtained with each of them when they are applied to the mortality data for the Valencia Region. As a result of the comparison, we conclude...