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241. Risk factors were identified by univariate and multivariate logistic regression analyses.

242. The multi-element orthogonal polynomial regression is used for traditional optimization technique of parametric optimum design, and the experimental research is done by some experiential formula.

243. In linear regression, the least squares estimation is heavily innuenced with outlyers.

244. Artificial neural network is a kind of implicit expression without explicit expression as statistical regression model, and it is its disadvantage.

245. Examples in this paper show that the dummy variable can draw some quality markers which is impossible to be quantized into the linear regression model.

246. In this paper we shall discuss two topics: the empirical distribution function of censored data and the Linear regression with censored data.

247. Solutionmultiple linear regression equations, industrial control algorithm. Can be transplanted to MFC program.

248. The distribution of powder clusters of finely ground slag was measured by means of laser granulometer and was modeled through RRSB linear regression.

249. Results The effect of multicollinearity among variables were eliminated in the regression model and an ideal mathematical model was constructed.

250. Objective To research the relationship between the phospholipase activities and the random amplified polymorphic DNA(RAPD) bands of Candida albicans, and establish the regression model.

251. The article selected 7 and 8 important factors respectively in the dry bulk boat market and the dry bulk shipping market, and did regression analysis after linearized the selected data.

252. The two known approaches to detect the problem are deficient in accuracy and usability and not suitable for large regression testing based on software simulator.

253. A new correlation coefficient that indicates goodness of-fit for regression line will be introduced yet in this paper. The illustrative examples are presented.

254. Based on the data of gas consuming quantum in zinc refining process and some new forecasting technique, a combined forecasting model of index regression and grey theory was established.

255. Objective To choose the best regression curve equation in the quantitative analysis system of resistin and to establish the regression curve equation.

256. The relationship between precipitation and the canopy interception is a power regression.

257. The parameters in the model, obtained employing the sectionalized nonlinear regression method, appeared to be in good agreement with those published in the literature.

258. We avoid the interfere of different elements with the multiple linear regression Gamma - ray detector.

259. The regression formulae were obtained to determine elastic buckling coefficients of the forementioned rectangular plates.

260. The examples indicate that using regression model instead of process and device modelling is superior in process optimized design and device performance prediction.

261. The empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.

262. I can recall a case of palliation and regression of a spindle-cell tumour on the gingival margin of a Fox Terrier.

262. Wish you will love sentencedict.com and make progress everyday!

263. The statistical inference includes ANOVA, Chi - square test, multiple regression, and logistic regression.

264. Regression analysis indicated that the total variance of depression influenced by self-flexibility, self-disharmony, self-accusation and recourse was 41.8%.