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91. Biased estimate methods are basic methods of modern regression analysis.

92. Multiple regression analysis showed that neonatal mortality rate had only statistical relationship with the factors of prenatal care of postpartum visit of sterilized delivery.

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

94. At last, we make empirical research by the marketing survey, regression analysis, association analysis on the cognitive model above.

95. According to the degraded image and the ideal subimage, a filter is designed by using multiple regression analysis and then applied to restore the whole image.

96. Correlation and regression analysis showed that the main influencing factors on depression of unemployed were self-accusation,[http://sentencedict.com/regression analysis.html] solving problem and the total scores of life events.

97. Objective:this research is to deal with the masking effect when multiple outliers occur during the traditional diagnostic regression analysis.

98. The influences of time to rescue, fasciotomy, and radical debridement on lower leg muscle strength were evaluated by stepwise regression analysis.

99. Data were analysed ins ingle factor and multiple regression analysis with SPSS.

100. Stepwise regression analysis was used to build mathematical model of radial keratotomy(RK), for analyzing factors influencing on the result, and predicting the RK result.

101. This paper studies the response of A-share market to the announcement on the special treatment of stock dealing, using the method of excess earnings and multiple regression analysis.

102. ANOVA, regression analysis, as well as the Monte Carlo simulation tool are applied to a carefully selected small project with desirable results.

103. Results: By using dummy variable, we can broaden the application of regression analysis.

104. The paper presents setting up gas logger operational curve model by applying mathematics regression analysis method.

105. First presented is a method of regression analysis combined with random time series technique for analysis of monitoring data of dams.

106. Using international current correlation and regression analysis method, we make a project of capacity and structure of labor employment.

107. We applied generalized linear regression analysis to control possible confounding factors related to explore the impact of numerical indicator variable factors.

108. This series has studied two applications of simple linear regression analysis.

109. Regression analysis is one of the common methods for marketing analysis and forecasting.

110. The multiple regression analysis model is established through measuring the enterprise performance by the order lead time.

111. The linear regression equation on the relationship between peroxide content in acrylonitrile and PAN fiber yellowness was obtained by regression analysis.

112. The regression analysis showed that the rate constant was greatly related to the initial concentration of cellulous, and the exponential function was the fittest model.

113. Multiple regression analysis showed that the score of SDS was correlated with the self-efficacy, help seeking, self-accusation, economic status and frequency of seizure.

114. This information is used to do multidimensional regression analysis, and an equation is gained, then the model is used for marginal and input-output analysis.

115. The results tested by C WISC and their learning achievement were analyzed by correlation and regression analysis respectively.

116. And from the result of multivariable regression analysis, we can see that importance of circumambient environment, convenient environment and human environment falls in turn.

117. Results To simplify GLM into several particular statistical models which are suitable for regression analysis, analysis of variance and covar...

118. As the artificial neural network and stepwise regression analysis are respectively applied to the data of crude wax deposition experiment, the model of wax deposition velocity was established.

119. The function between the modify modulus and the specific speed can be found by regression analysis. And the result of the modification can be validated.

120. Regression analysis is then used to estimate the response surface model to approximate the functional relationship between response features and design parameters on the entire design space.