Titlebook: Big and Complex Data Analysis; Methodologies and Ap S. Ejaz Ahmed Book 2017 Springer International Publishing AG 2017 big data analysis.com

Diverticulum

書目名稱Big and Complex Data Analysis影響因子(影響力)




書目名稱Big and Complex Data Analysis影響因子(影響力)學(xué)科排名




書目名稱Big and Complex Data Analysis網(wǎng)絡(luò)公開度




書目名稱Big and Complex Data Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big and Complex Data Analysis被引頻次




書目名稱Big and Complex Data Analysis被引頻次學(xué)科排名




書目名稱Big and Complex Data Analysis年度引用




書目名稱Big and Complex Data Analysis年度引用學(xué)科排名




書目名稱Big and Complex Data Analysis讀者反饋




書目名稱Big and Complex Data Analysis讀者反饋學(xué)科排名

Ejaculate

HUMID

使閉塞

Classify

Bias-Reduced Moment Estimators of Population Spectral Distribution and Their Applicationsich are then adopted to test the order of PSDs. The simulation study demonstrates the desirable performance of the order test in conjunction with the proposed moment estimators for the PSD of large covariance matrices.

Abrupt

Two-Point Boundary Value Problems,ariables into different categories, and the regularization methods can be applied afterwards. The technical conditions of model selection consistency for this broad framework relax those for the one-step regularization methods. Extensive simulations show the competitive performance of the new method.

否認

鋸齒狀

Defining Information Management Requirementsny existing methods fail because of lack of computational power. The finite-sample properties and the utility of the proposed method are examined through an extensive simulation study and an analysis of the national kidney transplant data.

極少

Intrepid

Regularization After Marginal Learning for Ultra-High Dimensional Regression Modelsariables into different categories, and the regularization methods can be applied afterwards. The technical conditions of model selection consistency for this broad framework relax those for the one-step regularization methods. Extensive simulations show the competitive performance of the new method.