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Multiple regression model

Xem 1-9 trên 9 kết quả Multiple regression model
  • The study collected information from 438 e-commerce customers in Bangkok and used a questionnaire as the research instrument. Statistics for the data analysis were the Pearson correlation coefficient and stepwise multiple regression analysis.

    pdf9p guernsey 28-12-2021 14 1   Download

  • A database consisting of 23 tripeptides was used to study the quantitative relationships between electric surface potential descriptors and antioxidant activity QESARs. The important structural descriptors SaaNH_acnt, SsOH_acnt, SaaN, SaaN_acnt, SsssCH, SaaaC, SsNH3p, SdO, SdO_acnt were selected for constructing the linear models QESARs with genetic algorithm. The best 4-variable linear model QESARlinear including the structural descriptors SaaN, SdO, SdO_acnt and SsOH_acnt was constructed. The quality QESARlinear was exhibited in statistical values R2 fitness of 97.

    pdf7p nguathienthan1 20-11-2019 11 2   Download

  • This paper discusses the results of experiments we have conducted to determine relationship between roads in a neighbouring area and to determine input factors for our neural network traffic flow prediction model. To choose a particular road as a predicting factor, we calculated the distance between roads in neighbouring area to identify the nearest road.

    pdf23p meriday 20-04-2019 12 2   Download

  • Chapter 16 - Times series forecasting and index numbers. This chapter includes contents: Time series components and models, time series regression, multiplicative decomposition, simple exponential smoothing, Holt-Winter’s Models, the Box Jenkins methodology (optional advanced section), forecast error comparisons, index numbers.

    ppt14p whocare_b 05-09-2016 39 2   Download

  • Chapter 15 - Multiple regression and model building. After mastering the material in this chapter, you will be able to: Explain the multiple regression model and the related least squares point estimates, explain the assumptions behind multiple regression and calculate the standard error, calculate and interpret the multiple and adjusted multiple coefficients of determination,...

    ppt15p whocare_b 05-09-2016 63 1   Download

  • Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: Multiple trait model combining random regressions for daily feed intake with single measured performance traits of growing pigs

    pdf0p toshiba19 15-11-2011 53 2   Download

  • Today there are many services which provide information over the phone using a prerecorded or synthesized voice. These voices are invariant in speed. Humans giving information over the telephone, however, tend to adapt the speed of their presentation to suit the needs of the listener. This paper presents a preliminary model of this adaptation. In a corpus of simulated directory assistance dialogs the operator’s speed in number-giving correlates with the speed of the user’s initial response and with the user’s speaking rate.

    pdf12p baohan 17-06-2009 134 6   Download

  • In panel data models (as in single-equation multiple-regression models) we are interested in testing two types of hypotheses: hypotheses about the variances and covariances of the stochastic error terms and hypotheses about the regression coefficients. The general to simple procedure provides a good guide.

    doc7p hgiang 11-03-2009 358 51   Download

  • From the system we call the ‘normal equation system’ we can solve K normal equations for K unknown beta coefficients. The straight-forward representation of the solution is expressed in the matrix algebra. However, since the main purpose is the application and EViews. Other data analysis software is available, so we can easily find regression coefficients without remembering all the algebraic expressions.

    doc12p hgiang 11-03-2009 173 17   Download

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