Titlebook: Estimation and Analysis of Insect Populations; Proceedings of a Con Lyman L. McDonald,Bryan F. J. Manly,Jesse A. Logan Conference proceedin

osteomalacia

書目名稱Estimation and Analysis of Insect Populations影響因子(影響力)




書目名稱Estimation and Analysis of Insect Populations影響因子(影響力)學(xué)科排名




書目名稱Estimation and Analysis of Insect Populations網(wǎng)絡(luò)公開度




書目名稱Estimation and Analysis of Insect Populations網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Estimation and Analysis of Insect Populations被引頻次




書目名稱Estimation and Analysis of Insect Populations被引頻次學(xué)科排名




書目名稱Estimation and Analysis of Insect Populations年度引用




書目名稱Estimation and Analysis of Insect Populations年度引用學(xué)科排名




書目名稱Estimation and Analysis of Insect Populations讀者反饋




書目名稱Estimation and Analysis of Insect Populations讀者反饋學(xué)科排名

法律

Life Tables and Parasitism: Estimating Parameters in Joint Host-Parasitoid Systemsost cases directly from stage-frequency data or samples of percentage parasitism, particularly when recruitment or parasitism overlaps with advancement to the next developmental stage..We present two approaches for calculating losses from parasitism. The first incorporates direct estimates for recru

憂傷

From Cohort Data to Life Table Parameters Via Stochastic Modelingnce of the stages over time in one cohort of individuals. This method involves modeling of the development process, modeling of the sampling process with its inherent errors, a statistical approach based on the models, and a numerical algorithm designed to perform the statistical estimation on real

擺動

Estimation of Stage—Specific Demographic Parameters for Zooplankton Populations: Methods Based on St approach demographic estimation as an inverse problem, using stage-classified matrix projection models. We allow the vital rates to vary between stages and over time, and do not assume stable age distributions or that discrete cohorts can be identified. We obtain least-squares estimates of survival

yohimbine

Compartmental Models in the Analysis of Populationsthus form a basis for the analysis of stage-frequency data. A review of the theory of compartmental systems is given. Both deterministic and stochastic theory are covered with mention of phase-type compartmental residence time distributions (covering exponential, gamma and mixtures of gamma), and in

煤渣

煤渣

顯赫的人

Flagging

Nonparametric Estimation of Insect Stage Transition Timese of samples in time. At each sample time, sacrifice a subset of a cohort and record the number of insects in each stage. We review nonparametric point estimators of the time to each stage and evaluate the estimators by computer simulation. The simulation results, under five survival distributions,

INTER