#SCHOOL MATE 2 SPECIAL 3P LAG SERIAL#

Not take long time for commute is attractive. In this way there are bad things but if I have to choose which one, I choose online class. My house internet connection is not stable, and the sound quality is bad, so it is difficult to understand what teacher said. If I have overslept, I will make it on time for class. I donРІР‚в„ўt want to take the train, but on-line class is donРІР‚в„ўt have to take the train. I donРІР‚в„ўt have to go to school in very hot outside in summer and I always get motion sick to take the train. Furthermore, I think It is the best thing about online classes it is I donРІР‚в„ўt have to go outside. Some class isnРІР‚в„ўt leaving the class materials but many classes, I can look again class materials, so I can deepen my understanding. One is I can look and watch class materials and on demand class again and again. Submitted by Yamamoto Yucca on Wed, - 04:31 I would like to do more that I can only do now. The best thing for me to do is to have face-to-face contact with each day of the week. But after all, I would like to meet friends and have a wonderful time. Now I am worried about returning to face-to-face lessons because I am too accustomed to this living. Since I can not go to school, I have more time to spare. Also, I am weak in the morning, so I am very saved everyday.

Recently, I have been living a meaningful life by such as cleaning my room and training muscles during my breaks. I can immediately spend my non-class time for myself. It often did not work at first, but I felt it suits me after I get used to it.

However, my school life has changed completely due to the influence of the coronavirus. Until now, I did not like online because I was not good at machines. I prefer studying online to face-to-face lessons. regular and special schools, and he currently serves as a board member or editorial. Submitted by Phan Bao Dung on Mon, - 19:44 2 Assessment in the Perspective of a Social Semiotic Theory of. I spend my days wondering if my motivation will return once the corona virus subsides. Now I don't prefer either face-to-face or online classes. For a long time, I lost my motivation to stay home and study while refraining myself. I am one of those people who would like to go to college and meet my friends, but lately, going to college seems to be a struggle for me. I hear some of my friends say that they want to have face-to-face classes and go to college. As a demerit, the point that the connection situation becomes bad, I feel a time lag, and the point that it is a little difficult to submit an assignment is raised as a demerit. If it is an on-demand class, I can listen to the class over and over again. One advantage is that I can sleep until just before the class starts. I've been doing online classes for six months, and there have been advantages but also disadvantages. My university has been offering online classes since May due to the corona virus. A Monte Carlo study illustrates our methodology and examines its performance in small and moderate samples.I think both online and in-person classes have their positive aspects. The major technical achievement of the paper is to justify under primitive conditions the consistency of a particular, cross-validation, method of automatically determining a desirable degree of smoothing, which we apply to a multiple regression model. In all these results, the degree of smoothing is allowed to depend on the data in a quite general way.

The above results all assume covariance stationarity of the data, except for the special case of a multivariate linear regression model for which certain trending explanatory variables are permitted. We adapt to these nonparametric features, justifying feasible, asymptotically optimal parameter estimates. The system may be parameterized over only a proper subset of the sampling frequencies. Optimal instruments depend on the spectral density of the disturbances and on the frequency response function, and the latter is also nonparametric when the system is incomplete.

#SCHOOL MATE 2 SPECIAL 3P LAG SERIAL#

A result on uniform convergence of spectral density estimates is established and applied in developing robust large-sample inference procedures based on instrumental variables estimates of a fairly general linear system with disturbances that have serial correlation of unknown form. This paper discusses frequency domain methods of statistical inference for time series, in which the degree of smoothing in nonparametric spectral density estimation is determined from the data.

School mate 2 special 3p lag