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Analysis of Variance with Time Series Data

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Ceranka B., Katulska K., Agricultural University of Poznań D. o. M. a. s. M., Adam Mickiewicz University F. o. M. a. C. S.

Acta Universitatis Lodziensis. Folia Oeconomica

2000

vol. 152

Successive observations over time are made on individual subjects classified into different groups. It is assumed that the mean response may vary between groups, that there is a random effect for each individual, and that successive observations on each individual follow a AR model. The likelihood-ratio criteria for testing the hypothesis of equality of the group means is considered.

Classification into two Populations for Time Dependent Observations

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Krzyśko M., Wołyński W., Adam Mickiewicz University F. o. M. a. C. S., Technical University of Zielona Góra

Acta Universitatis Lodziensis. Folia Oeconomica

2000

vol. 152

Optimal classification rules based on linear functions which maximize the area under the relative operating characteristic curve or which maximize the chosen probabilistic distance between two populations are studied here. We obtain an expression for the optimal linear discriminant function and show that the resulting procedure belongs to the Anderson-Bahadur admissible class. The asymptotic form of the discriminant function is also studied.

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2 Acta Universitatis Lodziensis. Folia Oeconomica

2 Adam Mickiewicz University F. o. M. a. C. S.

1 Agricultural University of Poznań D. o. M. a. s. M.

1 Ceranka B.

1 Katulska K.

1 Krzyśko M.

1 Technical University of Zielona Góra

1 Wołyński W.

2 2000

Search results

Analysis of Variance with Time Series Data

Classification into two Populations for Time Dependent Observations