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61. One-Way Analysis of Covariance were applied to analyze the collected data.

62. Covariance matrix can get bands with ample information content but it is a model educed under normal distribution condition, in addition its defect is large numbers of data, slower disposing speed.

63. The data were analyzed with the analysis of covariance, multivariate linear stepwise regression.

64. Variance component model of the random effects of covariance matrix unit for the "Linear model introduction" matrix has been studied.

65. In this paper, by using the special structure of the covariance matrix, a fast high resolution method based on QR decomposition is presented.

66. Group as independent variable , tests before experiment as covariates and tests after experiment as dependent variables for analysis of covariance .

67. Statistical linearization and mathematical inductive methods are used to obtain a recursive relation for evaluating the variance and covariance of displacement and velocity.

68. Further using Covariance Structure Model ( CSM ), we make an empirical analysis of these factors.

69. In linear modelling (analysis of covariance), the UCS of favourable soils is a function of variation in soil properties but not of variation in the quantity of cement or lime used.

70. Covariance analysis with forward stepwise variable selection was carried out.

71. The state vectors expectation, variance and covariance matrices are given under the conditions of the systems with regular infinite extreme point and singular infinite extreme point.

72. In addition, this study was analyzed by descriptive statistic, t-test and analysis of covariance.

73. Results of linear structural relation model based on covariance matrix showed that psychological factors affected the development of NIDDM not only directly but also indirectly.

74. The ranks and natural logarithms of determinants printed are those of the group covariance matrices.

75. A new method for human face image scale and direction estimation is proposed using covariance matrix eigenvalue and eigenvector of edge set, which is proved by theory and experiments.

76. Meanwhile, a recursive algorithm for computing the sample mean and covariance matrix with forgetting factors was also given to overcome the difficulties of storing the vast old training samples.

77. The design problem of PID regulator under the sector region poles and steady-state output covariance constraints is studied by employing the satisfactory control.

78. Covariance Analysis Describing function Technique (CADET) algorithm was used to analyze the precision of missiles remote control process.

79. Subjects were 84 middle school students in grade 2. By analysis of covariance of single factor to investigate the effect of the teacher-expectancy on the self-worth sense and the motivational belief.

79. Sentencedict.com is a sentence dictionary, on which you can find nice sentences for a large number of words.

80. For the estimation of satellite state, the extended sequential estimation algorithm was applied. The numerical method was used to integrate state vector and error covariance matrix.

81. The estimation of noise covariance matrix is based on iterative procedure in ML.

82. This method can control the series correlation via covariance matrix that was formed from correlation series and is suit for simulating finite correlated random series of different distributions.

83. Covariance analysis was used to analyze herbicide efficacy data from rapeseed experiments.

84. For comparing postoperative mean scores or mean score improvements measured in continuous scales, such as NDI scores, analysis of covariance was used with the preoperative score as the covariate.

85. Based on the high-frequency data, the realized volatility and realized covariance matrix was introduced systematically.

86. A unified Variance components estimation in the Gauss-Markov model with a singular covariance matrix of observations and singular design matrix is discussed in this paper.

87. The results were compared and analyzed with the t test and analysis of covariance between the two groups.

88. The data was analyzed with one - way analysis of covariance ( ANCOVA ) and two - way analysis of variance ( ANOVA ).

89. Compared with the traditional method, it does not need disassembling the power spectral densities of stochastic signal covariance and is not bound to if the power spectral densities are rational.

90. Bayes classification 1) three types of covariance not equal 2) three equal covariance () 3) programming line on the machine to draw three categories (or sub-interface).