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Unlike previous research, rigorous analysis of the results through implementation of statistical methods has been completed.
In addition, the implementation of statistical methods, both descriptive and inferential, for big data reduction using approximation and estimation properties in uncertain big data environments is also useful for data reduction in map-reduce programming models.
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The Statistical Development Series (SDS) provides a comprehensive review of statistical methods and standards in agricultural statistics.
We will build on the basic knowledge of statistical methods from the previous quarter to further develop fundamentals for the design, implementation and interpretation of policy-relevant research.
A survey of statistical methods for neuroscience research.
Statistical Papers provides a forum for the presentation and critical assessment of statistical methods.
This book focuses on the application of statistical methods in the field of hydrology and hydroclimatology.
He was also a pioneer in the use of statistical methods in international relations.
Sound design of experiments combined with proper implementation of appropriate statistical methods for data analysis are critical for producing meaningful scientific results that are both replicable and reproducible.
The analysis of such data requires the implementation of multilevel statistical methods that adjust for this clustering.
This may include information about the modality of data handling and manipulation, version of software and/or libraries used, and implementation of the statistical methods.
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