@article{heatwole_grech_monahan_king_marsh_2012, title={Thermal Biology of Sea Snakes and Sea Kraits}, volume={52}, ISSN={["1557-7023"]}, DOI={10.1093/icb/ics080}, abstractNote={Temperature probably had no direct effect on the evolution of sea kraits within their center of origin, a geologically stable thermal zone straddling the equator, but may have indirectly affected expansions and contractions in distributions beyond that zone through global fluctuations that caused alternation of higher and lower sea levels. The northern limit of the Laticauda colubrina complex seems to be the 20°C isotherm; in the south, the range does not reach that isotherm because there is no land (also a habitat requirement of sea kraits) within the zone of suitable temperature. The relationship of temperature to the pattern of geographic variation in morphology supports either the hypothesis of peripheral convergence or the developmental hypothesis but does not distinguish between them. Quadratic surfaces relating cumulative scores for coloration and morphological characters to global position showed a strong latitudinal component and an even stronger longitudinal one in which the direction of the latitudinal effect was reversed between east and west. A multivariate analysis revealed that while morphological characters vary significantly by location and climate when tested separately, when the influence of location on morphology is taken into account, no residual relationship between climate and morphology remains. Most marine snakes have mean upper temperature tolerances between 39°C and 40°C and operate at temperatures much nearer their upper thermal limits than their lower limits but still avoid deleterious extremes by diving from excessively hot water to deeper, cooler strata, and by surfacing when water is cold. At the surface in still water in sunlight, Pelamis can maintain its body temperature slightly above that of the water, but whether this is significant in nature is questionable. As temperature falls below 18-20°C, survival time is progressively reduced, accompanied by the successive occurrence of cessation of feeding, cessation of swimming, and failure to orient. Acclimation does not seem to be in this species' repertoire. In the water column, marine snakes track water temperature; on land, sea kraits can thermoregulate by basking, selecting favorable locations, and by kleptothermy. Laticauda colubrina adjusts its reproductive cycle geographically in ways that avoid breeding in the coldest months. Mean voluntary diving time is not temperature-dependent within the normal range of temperatures experienced by marine snakes in the field, but is reduced in water colder than 20°C. On land, much as while diving in the sea, sea kraits maintain long periods of apnea; intervals between breaths are inversely related to temperature.}, number={2}, journal={INTEGRATIVE AND COMPARATIVE BIOLOGY}, author={Heatwole, Harold and Grech, Alana and Monahan, John F. and King, Susan and Marsh, Helene}, year={2012}, month={Aug}, pages={257–273} }
@article{jetton_monahan_hain_2011, title={Laboratory studies of feeding and oviposition preference, developmental performance, and survival of the predatory beetle, Sasajiscymnus tsugae on diets of the woolly adelgids, Adelges tsugae and Adelges piceae}, volume={11}, journal={Journal of Insect Science (Tucson, AZ)}, author={Jetton, R. M. and Monahan, J. F. and Hain, F. P.}, year={2011} }
@article{newton_frampton_monahan_goldfarb_hain_2011, title={Two novel techniques to screen Abies seedlings for resistance to the balsam woolly adelgid, Adelges piceae}, volume={11}, journal={Journal of Insect Science (Tucson, AZ)}, author={Newton, L. and Frampton, J. and Monahan, J. and Goldfarb, B. and Hain, F.}, year={2011} }
@article{monahan_2006, title={Professor C. R. Mudgeon and the "order," or writing regression questions so that students do not need a calculator}, volume={60}, ISSN={["1537-2731"]}, DOI={10.1198/000313006X90323}, abstractNote={Professor Mudgeon writes simple linear regression questions so that the numbers always work out nicely. A student uses knowledge of linear models to learn that by constructing errors that are orthogonal to the design matrix, regression coefficients can be set to any desired value. An example is provided to construct data to follow a particular example.}, number={1}, journal={AMERICAN STATISTICIAN}, author={Monahan, JF}, year={2006}, month={Feb}, pages={50–52} }
@article{monahan_2006, title={Some algorithms for the conditional mean vector and covariance matrix}, volume={16}, number={8}, journal={Journal of Statistical Software}, author={Monahan, J. F.}, year={2006} }
@inbook{hummer_rouphail_hughes_fain_toole_patten_schneider_monahan_do_2005, title={User perceptions of the quality of service on shared paths}, ISBN={0309094135}, number={1939}, booktitle={Bicycles and pedestrians: Developing countries, 2005}, publisher={Washington, D.C.: Transportation Research Board}, author={Hummer, J. E. and Rouphail, N. and Hughes, R. G. and Fain, S. J. and Toole, J. L. and Patten, R. S. and Schneider, R. J. and Monahan, J. F. and Do, A.}, year={2005}, pages={28–36} }
@article{monahan_2004, title={Teaching statistical computing at North Carolina State University}, volume={58}, number={1}, journal={American Statistician}, author={Monahan, J.}, year={2004}, pages={08-} }
@article{hastings_hain_smith_cook_monahan_2002, title={Predation of gypsy moth (Lepidoptera : Lymantriidae) pupae in three ecosystems along the southern edge of infestation}, volume={31}, ISSN={["0046-225X"]}, DOI={10.1603/0046-225X-31.4.668}, abstractNote={Abstract The predation potential of small mammals, in particular mice, Peromyscus spp., and invertebrates, was evaluated from 1992 to 1995 near the leading edge of gypsy moth, Lymantria dispar (L.), spread into the southeastern United States. Two study sites were established in each of three geographic areas: the coastal plain, Piedmont, and mountains. All sites were mixed hardwood stands with varying amounts of oak, Quercus spp., and all were classified for gypsy moth susceptibility. Small mammal density was estimated using Sherman live-traps and pitfall traps within these 4.68-ha sites in early and late summer. Each site contained 75 trapping stations located on a 25-m grid. Predation was measured by offering freeze-dried gypsy moth pupae near trapping stations at four heights (0, 0.25, 1.0, and 2.0 m) on different tree boles. Pupal predation was monitored for three consecutive nights. Vertebrate predation was positively correlated with good mast production in the previous autumn. Predation data showed that when mice were at high densities they were the major source of pupal predation. However, within these southern sites, when densities of Peromyscus spp. were low, predation by invertebrates was occasionally greater than predation by vertebrates. These data suggest that in some years invertebrates may retard gypsy moth buildup when small mammals are scarce due to mast crop failures.}, number={4}, journal={ENVIRONMENTAL ENTOMOLOGY}, author={Hastings, FL and Hain, FP and Smith, HR and Cook, SP and Monahan, JF}, year={2002}, month={Aug}, pages={668–675} }
@book{monahan_2001, title={Numerical methods of statistics}, ISBN={0521791685}, DOI={10.1017/cbo9780511812231}, abstractNote={This 2001 book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods; for mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book provides a basic background in numerical analysis emphasizing issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats application of numerical tools: numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. The book concludes with an examination of sorting, FFT and the application of other 'fast' algorithms to statistics. Each chapter contains exercises that range from the simple to research problems, as well as examples of the methods at work.}, publisher={Cambridge ; New York: Cambridge University Press}, author={Monahan, J. F.}, year={2001} }
@article{genz_monahan_1999, title={A stochastic algorithm for high-dimensional integrals over unbounded regions with Gaussian weight}, volume={112}, ISSN={["0377-0427"]}, DOI={10.1016/S0377-0427(99)00214-9}, abstractNote={Details are given for a Fortran implementation of an algorithm that uses stochastic spherical–radial rules for the numerical computation of multiple integrals over unbounded regions with Gaussian weight. The implemented rules are suitable for high-dimensional problems. A high-dimensional example from a computational finance application is used to illustrate the use of the rules.}, number={1-2}, journal={JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS}, author={Genz, A and Monahan, J}, year={1999}, month={Nov}, pages={71–81} }
@article{genz_monahan_1998, title={Stochastic integration rules for infinite regions}, volume={19}, ISSN={["1064-8275"]}, DOI={10.1137/S1064827595286803}, abstractNote={Stochastic integration rules are derived for infinite integration intervals, generalizing rules developed by Siegel and O'Brien [ SIAM J. Sci. Statist. Comput., 6 (1985), pp. 169--181] for finite intervals. Then random orthogonal transformations of rules for integrals over the surface of the unit m-sphere are used to produce stochastic rules for these integrals. The two types of rules are combined to produce stochastic rules for multidimensional integrals over infinite regions with Normal or Student-t weights. Example results are presented to illustrate the effectiveness of the new rules.}, number={2}, journal={SIAM JOURNAL ON SCIENTIFIC COMPUTING}, author={Genz, A and Monahan, J}, year={1998}, month={Mar}, pages={426–439} }
@article{hoium_riordan_monahan_keeter_1997, title={Severe thunderstorm and tornado warnings at Raleigh, North Carolina}, volume={78}, ISSN={["0003-0007"]}, DOI={10.1175/1520-0477(1997)078<2559:STATWA>2.0.CO;2}, abstractNote={Abstract The National Weather Service issues public warnings for severe thunderstorms and tornadoes when these storms appear imminent. A study of the warning process was conducted at the National Weather Service Forecast Office at Raleigh, North Carolina, from 1994 through 1996. The purpose of the study was to examine the decision process by documenting the types of information leading to decisions to warn or not to warn and by describing the sequence and timing of events in the development of warnings. It was found that the evolution of warnings followed a logical sequence beginning with storm monitoring and proceeding with increasingly focused activity. For simplicity, information input to the process was categorized as one of three types: ground truth, radar reflectivity, or radar velocity. Reflectivity, velocity, and ground truth were all equally likely to initiate the investigation process. This investigation took an average of 7 min, after which either a decision was made not to warn or new informat...}, number={11}, journal={BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY}, author={Hoium, DK and Riordan, AJ and Monahan, J and Keeter, KK}, year={1997}, month={Nov}, pages={2559–2575} }
@article{monahan_genz_1997, title={Spherical-radial integration rules for Bayesian computation}, volume={92}, DOI={10.1080/01621459.1997.10474018}, abstractNote={Abstract The common numerical problem in Bayesian analysis is the numerical integration of the posterior. In high dimensions, this problem becomes too formidable for fixed quadrature methods, and Monte Carlo integration is the usual approach. Through the use of modal standardization and a spherical-radial transformation, we reparameterize in terms of a radius r and point z on the surface of the sphere in d dimensions. We propose two types of methods for spherical-radial integration. A completely randomized method uses randomly placed abscissas for the radial integration and for the sphere surface. A mixed method uses fixed quadrature (i.e., Simpson's rule) on the radius and randomized spherical integration. The mixed methods show superior accuracy in comparisons, require little or no assumptions, and provide diagnostics to detect difficult problems. Moreover, if the posterior is close to the multivariate normal, then the mixed methods can give remarkable accuracy.}, number={438}, journal={Journal of the American Statistical Association}, author={Monahan, J. and Genz, A.}, year={1997}, pages={664–674} }