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[PDF] Top 20 Model based distance sampling

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Model based distance sampling

Model based distance sampling

... Conventional distance sampling adopts a mixed approach, using model-based methods for the detection process, and design-based methods to estimate animal abundance in the study region, ... See full document

18

Application of Hazard Based Model for Housing Location Based on Travel Distance to Work

Application of Hazard Based Model for Housing Location Based on Travel Distance to Work

... choice model of ADAPTS activity-based ...of sampling methods, Zolfaghari et al [2011] presented a comparison among several common sampling meth- ods like importance sampling with bias ... See full document

11

Approximate Bayesian computation in large-scale structure: constraining the galaxy-halo connection

Approximate Bayesian computation in large-scale structure: constraining the galaxy-halo connection

... the model parameters, simulating the data from the pro- posals using a forward generative model, and then rejecting the proposals that are beyond a certain threshold ‘distance’ from the data, ... See full document

15

Models of random wildlife movement with an application to distance sampling

Models of random wildlife movement with an application to distance sampling

... resulting model is compli- cated, it makes comparatively weaker ...is based upon a more general form of the model originally derived by Skellam ... See full document

47

A unifying model for capture recapture and distance sampling surveys of wildlife populations

A unifying model for capture recapture and distance sampling surveys of wildlife populations

... We have also not covered any detail of how NHPP or other models that involve nonuniform animal distribution might be implemented. Although animal distribution is typically not ho- mogeneous in space, it is usual to ... See full document

11

Estimating red deer abundance using the pellet-based distance sampling method

Estimating red deer abundance using the pellet-based distance sampling method

... monious model to explain the pellet group detectabil- ...of distance sampling holds and that sometimes MCDS provides no additional practical gain beyond con- ventional distance ... See full document

9

Bayesian methods for hierarchical distance sampling models

Bayesian methods for hierarchical distance sampling models

... the distance sampling counts that incorporates a component corresponding to the detection function, thus allowing for undetected animals on the surveyed strip (line transects) or circular plot (point ... See full document

32

Distance software: design and analysis of distance sampling surveys for estimating population size

Distance software: design and analysis of distance sampling surveys for estimating population size

... transect sampling, where all animals within the strip of half-width w are assumed to be detected, estimation of abundance within the survey region can be achieved using an entirely design-based ...no ... See full document

10

Model selection with overdispersed distance sampling data

Model selection with overdispersed distance sampling data

... likelihood model whereby parameters related to both detectability and local abundance are estimated simultaneously (Hedley and Buckland 2004; Johnson, Laake & Ver Hoef 2010; Miller et ...any model ... See full document

28

Mixture models for distance sampling detection functions

Mixture models for distance sampling detection functions

... in distance sampling surveys of wildlife populations, based on finite mixtures of simple parametric key functions such as the ...to distance and can be fitted using maximum ...ensure ... See full document

19

Cetacean studies using platforms of opportunity

Cetacean studies using platforms of opportunity

... Conventional distance-sampling methods assume that a survey has been designed to give every point in the study area equal probability of being sampled. It can be very expensive to obtain enough ship time to ... See full document

238

Fuzzy Regression Model Based on Fuzzy Distance Measure

Fuzzy Regression Model Based on Fuzzy Distance Measure

... As a widely used statistical method, regression analysis is playing a more and more important role in model establishment and prediction evaluation. The tra- ditional regression analysis requires accurate data, ... See full document

15

Intrusion detection model based on selective packet sampling

Intrusion detection model based on selective packet sampling

... statistical model for the process of network intru- sion and to demonstrate that the common notion of the necessity of having the content of every IP packet inspected is ...epidemiological model. Wang and ... See full document

12

A new insight for monitoring ungulates : density surface modelling of roe deer in a Mediterranean habitat

A new insight for monitoring ungulates : density surface modelling of roe deer in a Mediterranean habitat

... Comparison between Density Surface Model and traditional distance sampling through analysis of abundance, density, 95% Confidence Interval and Coefficient of Variation % for the total ar[r] ... See full document

30

Towards Compressive Sampling and Fine-Grained Indoor Fingerprint Positioning

Towards Compressive Sampling and Fine-Grained Indoor Fingerprint Positioning

... In our experiments, we still use the scenario with 8 Aps in the ceiling of our 26m*38m office room. We use the 72 group of the real samples and synthetic data constructed by 16 intersection samples to complete our ... See full document

5

A data based model for driving distance estimation of battery electric logistics vehicles

A data based model for driving distance estimation of battery electric logistics vehicles

... Besides BELV drivers, drivers of other types of BEVs also experience the range anxiety very often. Estimating driving range is an important issue for BEV drivers, which has similarity with the driving distance ... See full document

13

Distance models for analysis of multivariate binary data

Distance models for analysis of multivariate binary data

... equation models (Boomsma, 1983, 1985; J. C. Anderson & Gerbing, 1984; Acito & An- derson, 1986). Recently, in clinical psychological research structural equation models have been proposed for the analysis of ... See full document

211

ESTIMATION OF SAMPLE SPACING IN STOCHASTIC PROCESSES

ESTIMATION OF SAMPLE SPACING IN STOCHASTIC PROCESSES

... In most applications, the variogram γ is unknown. In order to apply the estimator Eq. 2, it is therefore needed to replace γ in Eq. 2 by an estimate, based on the available observations within sections. First, we ... See full document

7

A predictive model of the cat cortical connectome based on cytoarchitecture and distance

A predictive model of the cat cortical connectome based on cytoarchitecture and distance

... structural model, we computed the struc- tural type difference between all pairs of ...scale based on several criteria for their cytoarchitectonic differentiation, assigning a structural type to each ... See full document

19

Incorporating measurement error and density gradients in distance sampling surveys

Incorporating measurement error and density gradients in distance sampling surveys

... for golf tees by 8 independent observers, which were considered as a single pooled observer, resulting in 125 sightings. The original tee data set includes group size, color and visibility, but these were ignored for the ... See full document

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