Forecast evaluation of small nested model sets

Forecast Evaluation of Small Nested Model Sets

We propose two new procedures for comparing the mean squared prediction error (MSPE) of a benchmark model to the MSPEs of a small set of alternative models that nest the benchmark. Our procedures compare the benchmark to all the alternative models simultaneously rather than sequentially, and do not require bootstrapping. Both procedures adjust MSPE differences in accordance with Clark and West ...

Reality Checks and Nested Forecast Model Comparisons

This paper develops a novel and e¤ective bootstrap method for simulating asymptotic critical values for tests of equal forecast accuracy and encompassing among many nested models. The bootstrap, which combines elements of …xed regressor and wild bootstrap methods, is simple to use. We …rst derive the asymptotic distributions of tests of equal forecast accuracy and encompassing applied to foreca...

Multiple forecast model evaluation∗

teacher educator evaluation model

اگرکیفیت معلم کلاس برای بهبودیادگیری دانش آموزحیاتی است،پس کیفیت اساتیددانشجو-معلمان، یابه عبارتی معلمین معلمان نیزبرای پیشرفت آموزش بسیارمهم واساسی است.ناگفته پیداست که یک سیستم مناسب آموزش معلمان ،معلمین با کیفیتی را تربیت خواهدکرد.که این کار منجربه داشتن مدارس خوب، ودرنتیجه نیروی کارماهرتروشهروندبهتربرای جامعه خواهدشد. اساتیددانشجو-معلمان نقشی بسیارمهم را در سیستم اموزش معلمان درسراسرجهان ای...

Small Point Sets for Simply-Nested Planar Graphs

A point set P ⊆ R is universal for a class G if every graph of G has a planar straight-line embedding into P . We prove that there exists a O(n( logn log log n )) size universal point set for the class of simply-nested n-vertex planar graphs. This is a step towards a full answer for the well-known open problem on the size of the smallest universal point sets for planar graphs [1,5,9].