Analyzing time-ordered event data with missed observations.

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Analyzing time-ordered event data with missed observations.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

@yue

2017年論文

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2017年論文

@zh-hk

2017年論文

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2017年論文

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2017年论文

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Analyzing time-ordered event data with missed observations.

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Item

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Analyzing time-ordered event data with missed observations.

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Analyzing time-ordered event data with missed observations.

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P1476

Analyzing time-ordered event data with missed observations

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P2093

E Emiel van Loon

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Wimke Fokkema

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P2860

From sensor data to animal behaviour: an oystercatcher example

Observational study of behavior: sampling methods

Fitting Linear Mixed-Effects Models Usinglme4

Spatiotemporal exploratory models for broad-scale survey data.

How unique was Hurricane Sandy? Sedimentary reconstructions of extreme flooding from New York Harbor.

Can the solar cycle and climate synchronize the snowshoe hare cycle in Canada? Evidence from tree rings and ice cores.

Analysis of the Optimal Duration of Behavioral Observations Based on an Automated Continuous Monitoring System in Tree Swallows (Tachycineta bicolor): Is One Hour Good Enough?

N-mixture models for estimating population size from spatially replicated counts.

The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses

Maximum Likelihood Estimation of the Parameters of the Gamma Distribution and Their Bias

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7362-7369

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scholarly article

P356

10.1002/ECE3.3281

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P433

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P478

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2017-08-09T00:00:00Z

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28944022

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P932

5606873

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Analyzing time-ordered event data with missed observations.

about

Analyzing time-ordered event data with missed observations.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P932