regression造句
121. The kernel regression method now is the most popular non - parametric estimation method.
122. In this section, you'll customize QueryReadStore and TreeGrid to implement partial loading and fix regression bugs.
123. A simple polynomial regression for experimental data shows that main flow velocity and perforation flow velocity are main factors resulting in mixture loss under given conditions.
124. Comparisons of optimum results between the genetic algorithm method and the traditional regression method as well as optimum seeking method were performed.
125. There is a range of applied force over which the regression rate remains constant.
126. The complanation and humanity regression are the general characteristic of the game tendency, and humor, puffiness, ridiculous, and making joy are the main expression.
127. Chi - square test, CMH test and Logistic regression were used in the statistic analysis.
128. Nicotine accumulation was negatively related to transplant period, regression coefficient was - 0.025.
129. The static state models of an EGO sensor were obtained by using piecewise polynomial method and nonlinear regression analysis method based on available experimental data.
130. Based on the relationship frame of technology innovation input-output-corporate competence, a panel data of the sample industry from 1995 to 2004 is used to do a regression analysis.
131. The piecewise polynomial regression model was established based on analyzing the scatter diagram of the speed change with the install distance.
132. The total days frequency of heavy fog of each month presents the double-peak pattern. The polynomial regression analysis result indicates that the annual change of...
133. In regression, we can have only one dependent variable in our estimating equation.
134. Data processing method are: range analysis, variance analysis, correlation analysis, linear and curvilinear regression, hierarchical analysis.
135. Least-square principle method was used to process experimental data and the regression line obtained. The failure mechanism of the He-Ne laser tube under different current has been analyzed.
136. Prerequisite: STAT 250. Emphasis on applications. Topics include analysis of variance, multiple regression, and nonparametric inference. A statistical computer package is used for data analysis.
137. The regression equations and similar factors were used to compare the predicability of the ANN and response surface method based on the binomial equations.
138. Real per capita investment spending on plant and equipment also exhibits a positive regression coefficient.
139. We must take care to reappraise the historical data we use to estimate the regression equation.
140. The main statistical methods were analysis of variance (ANOV A), multiple comparison, nonparametric test, t-test, linear regression and correlation and X2 test.
141. Regression estimates : including intercept and coefficients for linear, quadratic and correlation coefficient.
142. Multivariate regression analysis suggested that the close correlative factors to ISI were high density lipoprotein, very low density lipoprotein and CEcAMP.
143. Correlation factors between them are analyzed via statistic regression, where thickness of ore formation is regarded as a random variation.
144. That is , the regression line would tend to overestimate the magnitudes of Y.
145. The regression model based on 45 years data (1951-1995) with the two parameters has a multiple correlation coefficient of 0. 66.
146. Bronchial responsiveness to methacholine was expressed as a continuous ariable, and analyzed by multiple regression.
147. Taking degree of hydrolysis(DH) as criterion, the pancreatin hydrolysis of sesame protein was studied by applying a five factors quadratic regression orthogonal rotation grouping equation experiment.
148. Students will focus on decision analysis, forecasting techniques, linear regression, project scheduling, queuing theory, and linear programming.
149. Methodologically, these funds are studied by using panel data regression because this regression is more efficient.
150. Absrtact: The optimization choice of test case in regression testing is one of the key steps. Advance the efficiency of testing via equivalence partitioning method belonging to black box testing.
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