scholarly journals A bayesian spatial autoregressive model with k-NN optimization for modeling the learning outcome of the junior high schools in West Java

2018 ◽  
Vol 13 (3) ◽  
pp. 207-219 ◽  
Author(s):  
I. Gede Nyoman Mindra Jaya ◽  
Toni Toharudin ◽  
Atje Setiawan Abdullah
Keyword(s):  
High Schools ◽  
Autoregressive Model ◽  
Junior High ◽  
Learning Outcome ◽  
Junior High Schools ◽  
Spatial Autoregressive Model ◽  
West Java ◽  
Spatial Autoregressive

The location analysis of junior high schools in West Java Coastal Zone

2017 ◽  
pp. 161-163
Author(s):  
T.C. Kurniatun ◽  
E. Rosalin ◽  
L. Somantri ◽  
A. Setiyoko
Keyword(s):  
High Schools ◽  
Coastal Zone ◽  
Junior High ◽  
Junior High Schools ◽  
Location Analysis ◽  
West Java

Desain Media Pembelajaran Geometri SMP Menggunakan 3D Pageflip Professional Berbasis RME Terintegrasi STEM

2020 ◽  
Vol 8 (01) ◽  
pp. 55-66
Author(s):  
Feri Tiona Pasaribu ◽  
Yelli Ramalisa
Keyword(s):  
High Schools ◽  
Junior High ◽  
Junior High Schools ◽  
Design Development ◽  
Student Questionnaire ◽  
Implementation Stages ◽  
The Media ◽  
And Mathematics ◽  
Geometry Learning

The focus of this research is to design geometry learning mediain junior high schools based on RME and integrated with Science, Technology, Engineering and Mathematics (STEM) using 3D Pageflip Proffesional,and to explain quality of the learning media. In the process of design and development of this media used is the ADDIE development model which begins with the stages analysis, design, development, and  carried out an evaluation in each stages. Implementation stages will be continued in the following years research. This research resulted in a product in the form of geometry learning media in junior high schools especially eight grade according to purpose. Based on the validity test and practicality test the results obtained from the validation by material experts and media design experts were 4.09 namely 81.8% and 4.21 or 84.2%.Based on the criteria for the validity of the instrument, the criteria for "very valid" were obtained. And the practicality results, namely the results of teacher response questionnaire obtained an average of 4.26 or 85.19%, and the results of student questionnaire responses were 4.07 or 81.4%. Then based on the percentage criteria of practicality of the instrument, it is found that the criteria are very practical and the media can be implemented with minor revisions.

Canons of the American Musical

2020 ◽  
pp. 473-492
Author(s):  
Raymond Knapp
Keyword(s):  
High Schools ◽  
Subject Matter ◽  
Junior High ◽  
Junior High Schools ◽  
Canon Formation ◽  
Social Narratives

As the American musical has come of age and matured with continuing vitality, it has developed not just one canon but many. Various performing canons are tailored to specific cultural settings, reflecting venue, expected audiences, available performers, or other factors. There exist separate canons for high schools interested in getting lots of bodies on stage, for community theaters on a budget with a stable of local stars vying for plum roles, for church groups or junior high schools more careful with subject matter, or for college groups looking for something far enough out there to satisfy their rebellious urges. And finally, there exist a critical canon and a teaching canon, for which musicals are chosen in part according to the larger historical and social narratives they support. This chapter is paired with Micaela Baranello’s “Viennese operetta canon formation and the journey to prestige.”

scholarly journals Variable Selection for the Spatial Autoregressive Model with Autoregressive Disturbances

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1448
Author(s):  
Xuan Liu ◽  
Jianbao Chen
Keyword(s):  
Variable Selection ◽  
Autoregressive Model ◽  
Rapid Development ◽  
Heterogeneous Data ◽  
Spatial Effect ◽  
Spatial Effects ◽  
Spatial Autoregressive Model ◽  
Monte Carlo Studies ◽  
Spatial Autoregressive ◽  
Theoretical Results

Along with the rapid development of the geographic information system, high-dimensional spatial heterogeneous data has emerged bringing theoretical and computational challenges to statistical modeling and analysis. As a result, effective dimensionality reduction and spatial effect recognition has become very important. This paper focuses on variable selection in the spatial autoregressive model with autoregressive disturbances (SARAR) which contains a more comprehensive spatial effect. The variable selection procedure is presented by using the so-called penalized quasi-likelihood approach. Under suitable regular conditions, we obtain the rate of convergence and the asymptotic normality of the estimators. The theoretical results ensure that the proposed method can effectively identify spatial effects of dependent variables, find spatial heterogeneity in error terms, reduce the dimension, and estimate unknown parameters simultaneously. Based on step-by-step transformation, a feasible iterative algorithm is developed to realize spatial effect identification, variable selection, and parameter estimation. In the setting of finite samples, Monte Carlo studies and real data analysis demonstrate that the proposed penalized method performs well and is consistent with the theoretical results.

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