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31 This tells WEKA that we want to build a regression model.

32 This paper discusses the parameter estimation in measuring error secondary polynomial regression model based on Fuller.

33 The third is the ill-condition separation algorithm in multicollinear regression model.

34 This paper presents regression model with same regression coefficient and different regression constants.

35 A SVM based regression model with accurate number input and interval number output.

36 Then, correlation index and regression model are used to forecast population scale, urban quantity and urbanization in Jiangsu province.

37 This paper explores how a proportional hazards regression model may be adapted to the relative survival rates by using software of GLIM.

38 The results showed that the length of score vector in AMMI model was better to explain genotype by environment interaction than by joint linear regression model.

39 By the mean of integration of landslide certainty factor (CF) and multi-variable regression model, some problems can be solved including the selection and quantification of landslide factors.

40 This paper makes use of auto regression model named AR in the array of time to found out the stochastic process of pulse wind. The suitable step number of auto regression ...

41 The sampling distribution and hypothesis testing of this non-linear generalized correlation coefficient will be studied with linear regression model .

42 The use of polynomial regression model with a combination of mutation Qiemo Oasis established mutation model of sustainable development for the future development of the oasis system for reference.

43 In this paper, we discuss the estimate of regression function in nonparametric regression model based on exponential integral martingale difference.

44 A mathematical regression model was presented in this study for the separation of sterols in methyl(esterification) of rapeseed oil deodorized distillate by central composite design.

45 For the linear weighted regression model, this paper defines a new relative efficiency, gives its lower bound and also discusses its relation to other three efficiencies.

46 It's actually quite easy to put our data through the regression model using the WEKA API, far easier than actually loading the data.

47 Nonlinear multiple regression model on the structure activity relationship of ternary dissymmetric organic phosphate insecticide is obtained by quadratic polynomial stepwise regression method.

48 A high precise regression model of rubber formulation was built with the uniform design and GMDH (group method of data handling) method.

49 In this paper, the estimation of the direction of the regression coefficient of general regression model is considered.

50 Descusses the logarithmic correction factors of general multiplicative regression model and percent bias of unadjusted predicted value. The pool of correction factors is proposed.

51 Further, on this basis we derived an instrumental variable regression model. After disregarding the effect of multicollinearity among the explanatory variables, we verify the accuracy of the results.

52 A liner moving mean auto - regression model is developed to forecast the system marginal price.

53 Since the algorithm does not require a prior regression model with unknown variables, it can be utilized in the circumstances where other traditional statistical regression algorithms fail.

54 The effect of deep tube well use on the incidence of childhood diarrhoea was assessed using a random effects negative binomial regression model.

55 There has been four kinds of main early warning models of exchange crisis at present, namely "signal" approach, probit model, cross-county regression model and subjective probability method.

56 Based on the sample data of ship plate, and by applying mathematical statistics and multivariate regression analysis, a regression model of deformation parameter is established.

57 Simple linear regression model is applied to compare the difference in SGA usage pattern between public and private hospitals.

58 This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.

59 Then, a multivariate regression model is developed for measured and calculated results of geostress at measurement points,(Sentencedict.com) and the regression coefficient of the model is derived.

60 After data preprocessing a regression model between calorific and ash content was founded by polynomial regression.