Both total irradiation and diffuse irradiation are necessary to building energy consumption analysis. At the most cases in China,only total irradiation is available. So some method is needed to estimate diffuse irradiation. Relationship between daily diffuse irradiation and daily total irradiation is analyzed, based on data form Beijing and Chengdu.Polynomial models for Beijing and Chengdu are established to estimate K d form K t . Validation tests show good performance of the models. Monthly means of predicted daily diffuse irradiation is not significantly different from that of the original daily diffuse irradiation. Also,the auto_correlation function of the predicted diffuse fraction, K d is coincident with that of the original K d . Beijing model can accurately predict the data of Chengdu,which is significantly different from Beijing as to the climate,so it is recommended as the general model. 相似文献
In the years 2002–2005, special trials concerning the level of infection of pea varieties by downy mildew were performed in Poland. In these trials, the large number of varieties were tested in many locations (environments), separately on reach and light soils. Obtained trial data are unique because of the large scale of the performed investigations and also for the fact that all the observations were made by the same observer. In a paper, two methods of statistical analysis of such (ordered) data are compared.
Several models have been proposed for the statistical interpretation of ordinal data. One of the most popular is the cumulative-type fixed logistic model. In the present work, using two field pea data sets, we considered whether adding random effects to the simple logistic model can improve inference. It was investigated whether there is any difference between the decisions concerning varieties resulting from the simple logistic model and the proposed mixed logistic model. The two models were also compared in terms of goodness of fit. According to two applied goodness-of-fit statistics, the mixed model performed better in all the cases. Statistical analysis (what is important for practical agriculture) enabled identification of the most resistant and the most susceptible variety from the analyzed set of cultivars. 相似文献