Statistical Inference
By G. Casella, Roger L. Berger. 1990
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- Karl J. Friston
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- Yoshua Bengio
- W. D. Penny
- Kristina Lerman
- Stefan J. Kiebel
Citations in the corpus
- Can you Trust the Trend?: Discovering Simpson's Paradoxes in Social Data (2018, methodology): “on linear model of the form f „α + βx”= 1 1+e„α+βx” : (10) „eparametersα and β are•−edusingMaximumlikelihood, while test of the null hypothesis H0 : β = 0 is performed using the Likelihood Ratio Test [6]. „e eleven variables in Stack Exchange data, result in 110 possible Simpson’s pairs. Among these”
- Copula Methods for Forecasting Multivariate Time Series (2013, background): “Matlab code to replicate the analysis in this chapter is available at http://econ.duke.edu/sap172/code.html.”
- Demographics of News Sharing in the U.S. Twittersphere (2017, methodology): “ogical differences in topical tastes–Male and Female journalists write only the topics that readers of the same gender are interested in. To control the effect of the topics, we use a Chi-square test [9] to find which topics are written significantly more by Female (or Male) journalists and which topi”
- Global functional profiling of gene expression ? ? This work was funded in part by a Sun Microsystem (2003, unknown): “, x genes of category F [27,26]:”
- Quantile Regression via an MM Algorithm (2000, background): “|) is well known among theoretical statisticians (Casella and Berger, 1990).”
- Asymmetric copula in multivariate flood frequency analysis (2006, background): “In brackets, 95% likelihood profile confidence intervals [4] are reported.”