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Подобные документы

• 1. The application of models of panel data analysis

  Carrying out of econometric analysis by means of panel data models of the volume of innovative goods, works and services in the Russian Federation. The dependence on the number of personnel involved in scientific research and the internal expenses.
  
  ??????, добавлен 30.07.2017
  

• 2. Modeling of security indicators of the national economy and data processing using Python

  Analysis of problems arising during data processing and effective means of their modeling and forecasting with using NumPy, Pandas, Matplotlib. Analysis of the contribution of customs revenues from import and export duties to the state budget of Ukraine.
  
  ??????, добавлен 10.12.2024
  

• 3. Intermediate Statistics FOR DUMmIES

  Data Analysis and Model-Building Basics, making Predictions by Using Regression. Comparing Many Means with ANOVA. Building Strong Connections with Chi-Square Tests, rebels without a Distribution. Ten Errors in Statistical Conclusions, Practice Problems.
  
  ??????? ???????, добавлен 09.04.2013
  

• 4. ??????????? ???????? ??????-?????????

  ?????????? ????????? ????. ??????????? ????????????? ????????? ?????? (OLAP–??????????). ???????? ???????????? ?????????? OLAP. ??????? ????????? ??????. ????? ? ???? ????????????????? ??????? ?????? (Data Mining, DM) ? ???????? ???????? ???????.
  
  ??????????? ??????, добавлен 10.09.2017
  

• 5. Likelihood ratio statistics for autoregressive time series with a unit root

  The likelihood ratio test is a test used to compare the fit of two models, one of which is a special case of the other. The test is based on the likelihood ratio, which expresses how many times more likely the data are under one model than the other.
  
  ??????, добавлен 10.09.2012
  

• 6. Applied nonlinear time series analysis: applications in physics, physiology and finance

  The tools application in the areas: quantitative measures of nonlinear dynamics, Monte-Carlo statistical hypothesis testing, nonlinear modeling. The method of surrogate data. Estimation of correlation dimension. Times series embedding and reconstruction.
  
  ?????, добавлен 25.11.2013
  

• 7. Comparison of Machine Learning Algorithms in Demand Prediction Problem

  This study is intended the major issues of applying econometric and machine learning techniques to a daily demand prediction problem. The purpose of the paper is going to be achieved via the models’ predictive power comparison on bakery retail chain data.
  
  ????????? ??????, добавлен 14.07.2020
  

• 8. Methods of machine learning for censored demand prediction

  Econometric approaches to modeling censored demand - a tool that is used to obtain consistent and unbiased parameter estimates. The neglect of censored data when building a forecast - a significant lack of demand analysis by machine learning methods.
  
  ????????? ??????, добавлен 23.09.2018
  

• 9. Predictive modelling of bicycle availability for bicycle-sharing systems

  The predicting unobserved station-level demand for bicycles using both data mining techniques and stochastic modelling. Development of public bike-sharing systems, stochastic modelling of bicycle-sharing systems. Realization of peak detection heuristic.
  
  ???????? ??????, добавлен 28.08.2018
  

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