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61. In this paper, according to the test results, the functional relationship between the surface hardness value (HV)and the load for nitrided and nitrocarburized layer was studied by regression analysis.

62. The priming effects of Chinese and Arabic numerals were investigated in this research with the response window and the regression analysis model.

63. Conclusions: The multiple regression analysis may predict unknown variable from known variables in morphological application.

64. The regression analysis method of non stochastic process and movable control over the target area was used to assess seeding effect. The target area was determinated by diffusion equation.

65. We analyze the data using nonparametric tests and regression analysis.

66. And by establishing regression analysis model based on mathematics statistics[sentencedict.com/regression analysis.html], the distributing and impact of traffic noise pollution is predicted.

67. NLREG is a powerful statistical analysis program that performs linear and nonlinear regression analysis, surface and curve fitting.

68. In data analysis, some traditional statistical methods, such as exploring factor analysis, one-way analysis of variance, correlation analysis, regression analysis were used.

69. The data was analyzed by chi - square, stepwise regression analysis and covariance statistics.

70. Some explosive is examined by X-ray when X tube current and height of explosive columniation are fixed, and penetration rates are fitted by regression analysis method.

71. By a multiple regression analysis, neo-rectal compliance was associated with favorable clinical function, and hypermotility of the canal was associated with adverse clinical function.

72. 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.

73. 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.

74. 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...

75. As one of the main estimation methods, fuzzy least squares approach is appealing because it corresponds, to some extend, to the well known statistical regression analysis.

76. The example shows that it is feasible that the theories of grey correlation and regression analysis is used for social power consumption.

77. With Ramsey model and the method of regression analysis, the author analyses the relationship between consumer's risk expectation and the inflation rate.

78. Multivariate regression analysis suggested that the close correlative factors to ISI were high density lipoprotein, very low density lipoprotein and CEcAMP.

79. Deduce the air permeability calculating formula base on the regression analysis method. Provide a strong basis for the selection of PET, aluminum PET and PVDC film in food packaging.

80. Results: Five independent variables had been put into regression equation by multiple regression analysis, which were ADL score, stroke attack time, marriage, carer and SDS score.

81. The regression equations of expiratory and inspiratory resistances were built with multiple stepwise regression analysis on the IBM PC/XT computer with age, height and FVC as independent variables.

82. On this basis, forecasting models which are suitable for the national maritime accidents are expounded particularly, for example, regression analysis, grey-system and exponential smoothing method.

83. 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.

84. At the same time, by the gene, correlation and regression analysis, we have the key index of our study.

85. 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.

86. Several model building methods for the soft sensor are described, including regression analysis and neural networks.

87. The t-test and stepwise regression analysis were performed in both groups to determine the correlated factors of gummy smile deformity.

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

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

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