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Browsing Faculty Research Publications (Statistics) by Title

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Browsing Faculty Research Publications (Statistics) by Title

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  • Muller, Richard A.; Curry, Judith; Groom, Donald; Jacobsen, Robert; Perlmutter, Saul; Rohde, Robert; Rosenfeld, Arthur; Wickham, Charlotte; Wurtele, Jonathan (American Geophysical Union, 2013-06-10)
    Interannual to decadal variations in Earth global temperature estimates have often been identified with El Nino Southern Oscillation (ENSO) events. However, we show that variability on time scales of 2-15 years in mean a ...
  • Van Vuren, Dirk H.; Bray, Martin P.; Heltzel, Jeannie M. (American Society of Mammalogists, 2013-02)
    Differential investment in offspring has been reported for many mammals, often in the context of the Trivers– Willard model of male-biased investment, but evidence of differential investment in pronghorns (Antilocapra ...
  • Lin, Hung-Mo; Kim, Hae-Young; Williamson, John M.; Lesser, Virginia M. (Statistics Canada, 2012-06)
    We present a generalized estimating equations approach for estimating the concordance correlation coefficient and the kappa coefficient from sample survey data. The estimates and their accompanying standard error need t ...
  • St. Clair, John Bradley; Kilkenny, Francis F.; Johnson, Richard C.; Shaw, Nancy L.; Weaver, George (John Wiley & Sons Ltd., 2013-09)
    A genecological approach was used to explore genetic variation in adaptive traits in Pseudoroegneria spicata, a key restoration grass, in the intermountain western United States. Common garden experiments were establis ...
  • Di, Yanming; Emerson, Sarah C.; Schafer, Daniel W.; Kimbrel, Jeffrey A.; Chang, Jeff H. (De Gruyter, 2013-03)
    RNA sequencing (RNA-Seq) is the current method of choice for characterizing transcriptomes and quantifying gene expression changes. This next generation sequencing-based method provides unprecedented depth and resoluti ...
  • Mi, Gu; Di, Yanming; Emerson, Sarah; Cumbie, Jason S.; Chang, Jeff H. (Public Library of Science, 2012-10-02)
    When assessing differential gene expression from RNA sequencing data, commonly used statistical tests tend to have greater power to detect differential expression of genes encoding longer transcripts. This phenomenon, ca ...
  • Olson, Deanna H.; Aanensen, David M.; Ronnenberg, Kathryn L.; Powell, Christopher I.; Walker, Susan F.; Bielby, Jon; Garner, Trenton W. J.; Weaver, George; The Bd Mapping Group; Fisher, Matthew C. (Public Library of Science, 2013-02-27)
    The rapid worldwide emergence of the amphibian pathogen Batrachochytrium dendrobatidis (Bd) is having a profound negative impact on biodiversity. However, global research efforts are fragmented and an overarching synthes ...
  • Mahmoud, Hosam M.; Smythe, Robert T. (Applied Probability Trust, 2012-06)
    The "coupon collection problem" refers to a class of occupancy problems, in which j identical items are distributed, independently and at random, to n cells, with no restrictions on multiple occupancy. Identifying the ...
  • Hildreth, Laura A.; Genschel, Ulrike; Lorenz, Frederick; Lesser, Virginia (Taylor & Francis, 2013-04-15)
    Response patterns are of importance to survey researchers because of the insight they provide into the thought processes respondents use to answer survey questions. In this paper we propose the use of structural equation ...
  • Thorarinsdottir, Thordis L.; Johnson, Matthew S. (American Meteorological Society, 2012-03)
    A joint probabilistic forecasting framework is proposed for maximum wind speed, the probability of gust, and, conditional on gust being observed, the maximum gust speed in a setting where only the maximum wind speed fore ...
  • Murtaugh, Paul A.; Emerson, Sarah C.; McEvoy, Peter B.; Higgs, Kimberley M. (The Statistical Analysis of Insect Phenology, 2012-04)
    Weintroduce two simple methods for the statistical comparison of the temporal pattern of life-cycle events between two populations. The methods are based on a translation of stagefrequency data into individual Ôtimes i ...
  • Xue, Lan; Qu, Annie (Microtome Publishing, 2012-06)
    The varying-coefficient model is flexible and powerful for modeling the dynamic changes of regression coefficients. It is important to identify significant covariates associated with response variables, especially for ...

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