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A Public Scientific Method: Introspection - Philsci
A Public Scientific Method: Introspection - Philsci

No Slide Title
No Slide Title

... “Bid” inserted into question ...
q 2
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The Composition Effect: Conjunctive or Compensatory?
The Composition Effect: Conjunctive or Compensatory?

Optimal false discovery rate control for dependent data
Optimal false discovery rate control for dependent data

Simple Linear Regression
Simple Linear Regression

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ALGEBRA 1 , ALGEBRA 2 , AND GEOMETRY COMMON CORE
ALGEBRA 1 , ALGEBRA 2 , AND GEOMETRY COMMON CORE

... inequalities in one variable and use them to solve problems. Include equations arising from linear and quadratic functions, and simple rational and exponential functions. A-CED.2-Create equations in two or more variables to represent relationships between quantities; graph equations on coordinate ax ...
Query Processing, Resource Management and Approximate in a
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... Conclusions of Paper  Build a load-based taxonomy of web server traffic  Depends on technological, sociological, and psychological factors  Look for quantification of basic ...
Lecture3-Logistic Regression 6-5
Lecture3-Logistic Regression 6-5

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MEASURES OF DISPERSION :- 1. Dispersion refers to the variation
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Package `quantreg.nonpar`
Package `quantreg.nonpar`

Steven F. Ashby Center for Applied Scientific Computing
Steven F. Ashby Center for Applied Scientific Computing

... – Number of possible splitting values = Number of distinct values Each splitting value has a count matrix associated with it – Class counts in each of the partitions, A < v and A  v Simple method to choose best v – For each v, scan the database to gather count matrix and compute its Gini index ...
Probability and Uncertainty in Economic Modeling
Probability and Uncertainty in Economic Modeling

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An Alignment-Free Regression Approach for Estimating Allele

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Slides 2: Introduction to R (PDF, 131 KB)

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Effect of GDP Per Capita on National Life Expectancy Gokce

... The first and perhaps most important correlation that is shown, is that while increased levels of trade between countries of the world has led to an increase of transmission of communicable disease, the corresponding transfer of medical knowledge has led to an increase in life expectancy among count ...
Genomic analyses with emphasis on single-step
Genomic analyses with emphasis on single-step

... inbreeding with the genomic information can be assessed by runs of homozygosity. Matching of G and A22 when crossbreeding Under crossbreeding, ideally G would be matched to A22 for all breed combinations. In particular, blocks of G due to purebred breed combinations would be 0. However, manual manip ...
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Econ415_simple_CLRmodel

... describes the data generation process. It is supposed to describe the true economic relationship in the population that produced the data. Statistical Model as a Reasonable Approximation The statistical model should be a reasonable approximation of the true unknown data generation process. If the mo ...
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Logistic Regression Models for Ordinal Response Variables

... and in fact, much of the recent literature on application and development of ordinal regression techniques is found within the research of the larger public health community. Results of many of these statistical or comparative studies are mentioned here. Educational and social scientists may not typ ...
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Data assimilation

Data assimilation is the process by which observations are incorporated into a computer model of a real system. Applications of data assimilation arise in many fields of geosciences, perhaps most importantly in weather forecasting and hydrology. The most commonly used form of data assimilation proceeds by analysis cycles. In each analysis cycle, observations of the current (and possibly past) state of a system are combined with the results from a numerical model (the forecast) to produce an analysis, which is considered as 'the best' estimate of the current state of the system. This is called the analysis step. Essentially, the analysis step tries to balance the uncertainty in the data and in the forecast. The result may be the best estimate of the physical system, but it may not the best estimate of the model's incomplete representation of that system, so some filtering may be required. The model is then advanced in time and its result becomes the forecast in the next analysis cycle. As an alternative to analysis cycles, data assimilation can proceed by some sort of nudging process, where the model equations themselves are modified to add terms that continuously push the model towards observations.
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