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151. Through adopting forward selection variables, the relative optimal regression model was achieved.

152. The prediction formula and its error estimation are also established. Its regression and time-varying autoregression model is presented.

153. It is inferred that the cause of the event was a global regression at the end of the Guadalupian, and the event continued for a long time that is equal to the late Capitanian period.

154. In addition, some information of the future value of random disturbance term in regression analysis is delivered by complex model, so that the forecasting accuracy is improved.

155. The process of suggested variables selection method is simple, and the accumulated error is smaller than that of partial least-squares regression.

156. This paper uses regression analysis method to carry out the discussion on correlation between the growth of the listed companies and structure index of stock rights.

157. The concepts of marine transgression and regression are considered to be fundamental.

158. The correlation coefficient y-intercept slope of the regression line and residual sum of squares should be submitted.

159. An error correction method for three axial fluxgate sensor based on support vector regression(SVR)is proposed.

160. With a minimum of mathematics and an engaging, highly rewarding style, Bloomfield provides in-depth discussions of harmonic regression, harmonic analysis, complex demodulation, and spectrum analysis.

161. After unit root test and cointegration test , regression was performed quantitative relation was worked out.

162. The result of regression shows that value of listed companies is positively correlated with asset and liability rate and yield of asset, and is negatively correlated with the ration of floating stock.

163. Their relation with geographical factors was studied by partial correlation analysis in combination with regression of principal components.

164. The most accurate method to determine the behavior pattern of a mixed cost is least - squares regression.

165. There were significant differences between all of aged groups in regression coefficient significance tests, except between 18-25 and 26-45 aged group in female.

166. 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 ...

167. Methods:Four factors quadratic regression rotation combination design and agricultural biological statistics were applicated.

168. We have build the multivariate orthogonal polynomial regression forecasting model of the economical effect on winter wheat production.

169. In this study, correlation and regression analysis reflect the qualitative semi-quantitative relationship of remote sensing indicators and the growing parameters.

170. According to real tested data, it builds up CVC cambering curve equation by polynomial regression. This paper discusses practical significance of the equation.

170. Sentencedict.com is a online sentence dictionary, on which you can find excellent sentences for a large number of words.

171. According to the logistic regression, the important predictors of skin tears were age, mobility limitation, ADLs independence, and abnormal skin presence.

172. Correlation and regression analysis indicated that certain gender differences of the relationships between the behaviours and CET4 scores existed.

173. It is fond to be very powerful to combine regression analysis and ANN method to obtain semi empirical model of chem. process.

174. Multiple regression analysis confirms that the specific determinants are home-country import from China, technological sophistical level, exchange rate variety, and cultural distance.

175. Using 11 varieties of Gossypium hirsutum L. as parents, the relation of major economic character was analyzed between F1 of 10 hybrid combination and their parents by constant parent regression.

176. This paper considers the classification compression principal component estimate of regression coefficient in growth curve model and proves that it is superior to least squares estimate.

177. Besides, the history of least one-power method and least squares method, multiple solutions and the various effects of outliers on the regression line are discussed.

178. As the regression of the neo-romanticism, 30 years old of a few right-and-left people begin to be infatuated with Europe type amorous feelings afresh again.

179. The regression line is derived from a sample and not from the entire population.

180. The next step in the simple linear regression procedure is to determine if the remaining squared error of prediction is acceptable or not.