(2007). Introduction to functional data analysis. Canadian Psychology/Psychologie canadienne 48 (3), 135-155. Mehrjardi, R., Jahromi, M, Mahmod, S. & Heidari, A. (2008). Spatial Distribution of Groundwater Quality with Geostatistics (Case Study: Yazd- Ardakan Plain). World Applied Sciences...
Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework. The ...
Categorical Data Analysis[分类数据分析](PPT-44) 热度: An Introduction to Secondary Data Analysis二级数据分析导论 热度: the analysis of biological data:生物数据分析 热度: AnIntroductiontoFunctionalDataAnalysis JimRamsay McGillUniversity Overview We’llusethreecasestudiestoseewhatismeantbyfunctionaldata,andto...
Limited public software/resourses - changed over the last decade. Initial development on data analysis rather than inference.Necessities for Functional Data:must believably derive from a smooth process; process should not be easily parameterizable (should not be able to write down a formula); eno...
注意语言表达和逻辑结构：在阅读Introduction部分时，注意作者的语言表达和逻辑结构。好的语言表达应该清晰、...
identified the local structures and site specific overpotentials of Ni and Fe cations in Ni−Fe(oxy)hydroxide using operando X-ray absorption spectroscopy (XAS) and density functional theory calculations, respectively. 这里是直接引用了Friebel的一篇文章,讲到了采用XAS和DFT来研究Ni-Fe催化剂活性中心的...
Researchers reverse transcribe RNA, then use the cDNA produced as a template in qPCR reactions to detect and quantitate gene expression products TOP What is gene expression? Gene expression is the process by which information from a gene is used in the synth...
Springer Texts in Statistics(共118册), 这套丛书还有 《Probability Theory》《Time Series Analysis and Its Applications》《The Bayesian Choice》《Statistical Analysis and Data Display: An Intermediate Course with Examples in R》《An Introduction to Statistical Learning》 等。
The built-in capabilities are organized in six functional areas: Operations, Applications, Storage, Networking, Compute, and Identity. More detail on the features and capabilities available in the Azure Platform in these six areas are provided through summary information. ...
Bounded Contexts needn't be organized solely by the functional area of an application. They're very useful in dividing a system to achieve desired architectural examples. The classic example of this approach is an application that has both a robust transactional footprint and a portfolio of report...