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Robust pca in stata

Robust principal component analysis in Stata, Robust pca in stata, pca, pca in stata, several dimensions, Introduction to PCA , Formal definition of PCA , po...
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New robust estimators of scale | Chemometrics

153-158, 2014. http://dx.doi.org/10.1016/j.csda.2014.04.013; M. Daszykowski, K. Kaczmarek, Y. Vander Heyden, and B. Walczak, "Robust statistics in data analysis — A review", Chemometrics and Intelligent Laboratory ...
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Robust ANCOVA with bootstrapping | R Source

Robust ANCOVA with bootstrapping | R Source | excel robust statistics | Scoop.it
Cue the contemporary robust statistics! These techniques are designed to manage assumption violations such as non-normality, uneven groups, etc. The methods used to deal with these issues include using estimates of ...
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Robust version of Cronbach's Alpha: A brief review | R Source

Cronbach's coefficient alpha is a common estimate of internal consistency. However, just as with any traditional statistic it is susceptible to over- or underestimation based on error around the variance estimations made using ...
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Robust statistics are statistics with good performance for data drawn ...

Robust statistics are statistics with good performance for data drawn from a wide range of probability distributions, especially for distributions that are not normally distributed. Robust statistical methods have been developed ...
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Reanalyzing the Schnall/Johnson “cleanliness” data sets - R-bloggers

Reanalyzing the Schnall/Johnson “cleanliness” data sets - R-bloggers | excel robust statistics | Scoop.it
A more detailed look at the data using robust statistics. Parametric tests, like the ANOVA employed in the original and the replication study, rest on assumptions. Unfortunately, these assumptions are very rarely met (Micceri, ...
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BEYOND THE BUZZ PART II: Model Assumptions and Robustness ...

See, for example, Wilcox, Rand R. (2005 and 2012), Introduction to Robust Estimation and Hypothesis Testing, Elsevier, and Huber and Ronchetti (2009) Robust Statistics, Wiley. 4. For example, Wilcox (2005) (see note 3 ...
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Which Robust Correlation Methods Are Actually Used? | Click & Find ...

Bootstrapping is getting more and more popular, but other robust statistics are more or less non-existent so far). Are there already systematical comparisons of multiple correlation techniques that you know of?
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[1403.2660] Robust and scalable Bayes via a median of subset ...

Mathematics > Statistics Theory ... Abstract: We propose a novel approach to Bayesian analysis that is provably robust to outliers in the data and often has computational advantages over standard methods.
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How to read the latest data on public attitudes to science - The Guardian

How to read the latest data on public attitudes to science - The Guardian | excel robust statistics | Scoop.it
The Guardian
How to read the latest data on public attitudes to science
The Guardian
But in many ways being led by the social context is more robust, as it offers more useful information, even if the headlines aren't so fun.
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3. Statistics for One Variable - 5 Using a single categorical variable One sample chi square test

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Robustness of T-Procedures (Outliers)

This video shows how outliers impact confidence intervals for means when the sample size is small.
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Book Review: Fabozzi Et Al., The Basics Of Financial Econometrics - Seeking Alpha

Book Review: Fabozzi Et Al., The Basics Of Financial Econometrics - Seeking Alpha | excel robust statistics | Scoop.it
Book Review: Fabozzi Et Al., The Basics Of Financial Econometrics Seeking Alpha Five appendices review the basics: descriptive statistics, continuous probability distributions commonly used in financial econometrics, inferential statistics,...
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Book Review: Fabozzi Et Al., The Basics Of Financial Econometrics ...

Book Review: Fabozzi Et Al., The Basics Of Financial Econometrics ... | excel robust statistics | Scoop.it
... basics: descriptive statistics, continuous probability distributions commonly used in financial econometrics, inferential statistics, fundamentals of matrix algebra, model selection criterion (AIC and BIC), and robust statistics.
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ICORS 2015 - International Conference on Robust Statistics (ICORS 2015)

ICORS 2015 - International Conference on Robust Statistics (ICORS 2015) | excel robust statistics | Scoop.it
ICORS 2015 - International Conference on Robust Statistics (ICORS 2015) (International Conference on Robust Statistics (ICORS 2015) http://t.co/CraH5wOCbB ReseachBib)...
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Robust Repeated Measures ANOVA | R Source

Robust Repeated Measures ANOVA | R Source | excel robust statistics | Scoop.it
m = Your dataset; grpc = the column containing group code; coln = the list of columns containing the outcome variables (e.g. putting c(2:5) here will make R examine columns 2 through 5, which it reads as Time1 in column 2, ...
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Six Ways to Separate Lies From Statistics

Six Ways to Separate Lies From Statistics | excel robust statistics | Scoop.it
From Betsey Stevenson & Justin Wolfers, a short primer on separating lies from statistics:
 
1. Focus on how robust a finding is, meaning that different ways of looking at the evidence point to the same conclusion.

Via David Hall
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International Conference on Robust Statistics (ICORS) 2014 - JRC Science Hub - European Commission

August 2014, Germany (exact date and place still to be defined)The JRC applies its results in robust statistics to Support EU's core policy themes (International Conference on Robust Statistics (ICORS) 2014 - 01 Aug 2014 to 02 Aug 2014 (via #JRC):...
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e-Study Guide for: Robust Statistics by Peter J. Huber, ISBN 9780470129906 - Cram101 Textbook Reviews

e-Study Guide for: Robust Statistics by Peter J. Huber, ISBN 9780470129906 - Cram101 Textbook Reviews | excel robust statistics | Scoop.it
Here you can find where to get e-Study Guide for: Robust Statistics by Peter J. Huber, ISBN 9780470129906 - Cram101 Textbook Reviews download. (#download e-Study Guide for: Robust Statistics by Peter J.
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Median Of Medians As Robust Mean Of Means? - Click & Find Answer

The median based statistics as expected are more robust, though they fail to show that the heavy tailed outlier variant is heavy tailed. > wholestats(d,a*b) mean variance st.dev median.50% IQR.75% MAD -0.002440456 ...
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How to replicate Stata's robust glm for proportion data in R?

How to replicate Stata's robust glm for proportion data in R? | excel robust statistics | Scoop.it
There is an example on how to run a GLM for proportion data in Stata here: http://www.ats.ucla.edu/stat/stata/faq/proportion.htm The IV is the proportion of students receiving free or reduced priced (How to replicate Stata's robust glm for...
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Infographic of Robust statistics Non-Chronological Plots - Paper ...

Infographic of Robust statistics Non-Chronological Plots - Paper ... | excel robust statistics | Scoop.it
Infographic of Robust statistics Non-Chronological Plots - Paper through Time: Nondestructive ... ~ Mathematic Games redescending m-estimator,Mathematic for Kids huber loss function,Mathematic Cheat Sheet median ...
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3. Statistics for One Variable - 4 Using a single mean Hypothesis test and confidence interval

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7. Statistics for Associations - 10 Solution Comparing proportions across several different groups

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