Models for autoregressive processes of bounded counts: How different are they?
- Published in:
- Computational Statistics, 2020, v. 35, n. 4, p. 1715, doi. 10.1007/s00180-020-00980-6
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- Publication type:
- Article
Works matching IS 09434062 AND DT 2020 AND VI 35 AND IP 4
Results: 23
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A robust joint modeling approach for longitudinal data with informative dropouts.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1759, doi. 10.1007/s00180-020-00972-6
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- Article
3
Implementation of a goodness-of-fit test through Khmaladze martingale transformation.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1993, doi. 10.1007/s00180-020-00971-7
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- Article
4
A time series model based on dependent zero inflated counting series.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1737, doi. 10.1007/s00180-020-00982-4
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- Article
5
Statistical inference for Markov chains with applications to credit risk.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1659, doi. 10.1007/s00180-020-00978-0
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- Article
6
Modified empirical likelihood-based confidence intervals for data containing many zero observations.
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- Computational Statistics, 2020, v. 35, n. 4, p. 2019, doi. 10.1007/s00180-020-00993-1
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- Article
7
Maximum likelihood estimation based on ranked set sampling designs for two extensions of the Lindley distribution with uncensored and right-censored data.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1827, doi. 10.1007/s00180-020-00984-2
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- Article
8
Comparing scale parameters in several gamma distributions with known shapes.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1927, doi. 10.1007/s00180-020-00983-3
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- Article
9
Measuring and testing interdependence among random vectors based on Spearman's ρ and Kendall's τ.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1685, doi. 10.1007/s00180-020-00973-5
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- Article
10
Estimating the number of clusters via a corrected clustering instability.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1879, doi. 10.1007/s00180-020-00981-5
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- Article
11
word.alignment: an R package for computing statistical word alignment and its evaluation.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1597, doi. 10.1007/s00180-020-00979-z
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- Article
12
Meta-analysis of individual patient data with semi-competing risks under the Weibull joint frailty–copula model.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1525, doi. 10.1007/s00180-020-00977-1
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- Article
13
Bayesian robust estimation of partially functional linear regression models using heavy-tailed distributions.
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- Computational Statistics, 2020, v. 35, n. 4, p. 2077, doi. 10.1007/s00180-020-00975-3
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- Article
14
A partitioned quasi-likelihood for distributed statistical inference.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1577, doi. 10.1007/s00180-020-00974-4
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- Article
15
Geometric ergodicity of a Metropolis-Hastings algorithm for Bayesian inference of phylogenetic branch lengths.
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- Computational Statistics, 2020, v. 35, n. 4, p. 2043, doi. 10.1007/s00180-020-00969-1
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- Article
16
Estimation in partially linear varying-coefficient errors-in-variables models with missing response variables.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1637, doi. 10.1007/s00180-020-00967-3
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- Article
17
Comparison among simultaneous confidence regions for nonlinear diffusion models.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1951, doi. 10.1007/s00180-019-00949-0
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- Publication type:
- Article
18
Use of the heuristic optimization in the parameter estimation of generalized gamma distribution: comparison of GA, DE, PSO and SA methods.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1895, doi. 10.1007/s00180-020-00966-4
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- Publication type:
- Article
19
An improvement on the efficiency of complete-case-analysis with nonignorable missing covariate data.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1621, doi. 10.1007/s00180-020-00964-6
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- Publication type:
- Article
20
Sequential fixed-accuracy confidence intervals for the stress–strength reliability parameter for the exponential distribution: two-stage sampling procedure.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1553, doi. 10.1007/s00180-020-00957-5
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- Article
21
On the performance of estimation methods under ranked set sampling.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1805, doi. 10.1007/s00180-020-00953-9
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- Article
22
Regression and subgroup detection for heterogeneous samples.
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- Computational Statistics, 2020, v. 35, n. 4, p. 1853, doi. 10.1007/s00180-020-00965-5
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- Publication type:
- Article
23
Estimating asymptotic variance of M-estimators in ranked set sampling.
- Published in:
- Computational Statistics, 2020, v. 35, n. 4, p. 1785, doi. 10.1007/s00180-019-00946-3
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- Publication type:
- Article