Stochastic Model of Insect Phenology: Estimation and Testing

Keywords

Biology, Phenology, Insect, Ecology, Estimation

References

• BMDP statistical softwareThomas A. Bubolz, W. J. Dixon — 1983
• A First Course on Stochastic ProcessesS. Karlin, H. M. Taylor — 1968
• The Nelder-Mead Simplex Procedure for Function MinimizationDonald M. Olsson, Lloyd S. Nelson — 1975
• A Stochastic Model of Balsam Fir Bud Phenology Utilizing Maximum Likelihood Parameter EstimationAkira Osawa, Christine A. Shoemaker, Jery R. Stedinger — 1983
• Discrete Multivariate Analysis: Theory and PracticeR. L. Plackett, Yvonne Bishop, Stephen E. Fienberg — 1976

Cited by

• Biology of the mountain pinhole borer, Platypus subgranosus Schedl, in TasmaniaSteven G. Candy — 1990
• Large aspen tortrixEdward H. Holsten — 1988
• Synchronized diapause termination of the peach twig borer Anarsia lineatella (Lepidoptera: Gelechiidae): Brownian motion with drift?Petros Damos, Matilda Savopoulou‐Soultani — 2010
• Phenology, population ecology, and rarity of the New Zealand ribbonwood aphid, Paradoxaphis plagianthiJohn M. Kean, M.W. Stufkens — 2005
• Modelización del desarrollo postembrionario de Dociostaurus maroccanus (Thunberg, 1815)Felipe Pascual, Tomás Cabello García, Pablo Barranco Vega — 1999
• A Cicada that Ensures Its Fitness during Climate Warming by Synchronizing Its Hatching Time with the Rainy SeasonMinoru Moriyama, Hideharu Numata — 2011
• The importance of individual developmental variation in stage-structured population models.Perry de Valpine, Katherine Scranton, Jonas Knape — 2014
• Survival and Passage of Ingested New Zealand Mudsnails through the Intestinal Tract of Rainbow TroutRolita Louise Bruce, Christine M. Moffitt, Brian Dennis — 2009
• A new method of survey and data analysis in phenologyBartolomeo Schirone, Antonio Leone, Stefano Mazzoleni — 1991
• Reverse Engineering of Legacy Agricultural Phenology Modeling SystemIan Yocum, Hassan Reza, William Kemp — 2014
• Predicting time to peak occurrence of insect life‐stages usingregression models calibrated from stage‐frequency data and ancillary stage‐mortality dataSteven G. Candy — 2003
• Sampling designs of insect time series data: are they all irregularly spaced?David Beresford, J. F. SUTCLIFFE — 2009
• Object-oriented modeling and GIS integration in a decision support system for the management of eastern hemlock looper in NewfoundlandJune Power, Hannu Saarenmaa — 1995
• Seasonal cues in tropical organisms. Rainfall? Not necessarily!Henk Wolda — 1989
• Gypsy moth (Lepidoptera: Lymantriidae) egg development: a simulation analysis of laboratory and field dataAlan J. Sawyer, Maurice J. Tauber, Catherine A. Tauber — 1993
• The Statistical Analysis of Insect PhenologyPaul A. Murtaugh, Sarah C. Emerson, Peter B. McEvoy — 2012
• Predicting spring migration of the damson-hop aphid Phorodon humuli (Homoptera: Aphididae) from historical records of host-plant flowering phenology and weatherSusan P. Worner, G. M. Tatchell, I. P. Woiwod — 1995
• Estimation of General Multistage Models From Cohort DataPerry de Valpine, Jonas Knape — 2015
• Logistic regression and continuation ratio models to estimate insect development under variable temperaturesStéphanie Manel, D. Debouzie — 1997
• TB147: Simulating the Development of Mexican Bean Beetle Immature Stages, Epilachna varivestis Mulsant (Coleoptera: Coccinellidae), on Dry BeansYuqing Fan, Francis A. Drummond, Eleanor Groden — 1991

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