Mean‐preserving rounding integer‐valued ARMA models.
- Published in:
- Journal of Time Series Analysis, 2025, v. 46, n. 3, p. 530, doi. 10.1111/jtsa.12774
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- Article
Works matching AU Weiß, Christian H.
Results: 80
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Weighted discrete ARMA models for categorical time series.
- Published in:
- Journal of Time Series Analysis, 2025, v. 46, n. 3, p. 505, doi. 10.1111/jtsa.12773
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- Publication type:
- Article
3
Soft‐Clipping Autoregressive Models for Ordinal Time Series.
- Published in:
- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 3, p. 1, doi. 10.1002/asmb.70015
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- Publication type:
- Article
4
Generalized ordinal patterns in discrete-valued time series: nonparametric testing for serial dependence.
- Published in:
- Journal of Nonparametric Statistics, 2024, v. 36, n. 3, p. 573, doi. 10.1080/10485252.2023.2231565
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- Publication type:
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5
Smooth-transition autoregressive models for time series of bounded counts.
- Published in:
- Stochastic Models, 2021, v. 37, n. 4, p. 568, doi. 10.1080/15326349.2021.1945934
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- Publication type:
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6
Self-exciting hysteretic binomial autoregressive processes.
- Published in:
- Statistical Papers, 2024, v. 65, n. 3, p. 1197, doi. 10.1007/s00362-023-01444-x
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- Publication type:
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7
Testing for zero inflation and overdispersion in INAR(1) models.
- Published in:
- Statistical Papers, 2019, v. 60, n. 3, p. 473, doi. 10.1007/s00362-016-0851-y
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- Publication type:
- Article
8
Evaluating Approximate Point Forecasting of Count Processes.
- Published in:
- Econometrics (2225-1146), 2019, v. 7, n. 3, p. 30, doi. 10.3390/econometrics7030030
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- Article
9
Measures of Dispersion and Serial Dependence in Categorical Time Series.
- Published in:
- Econometrics (2225-1146), 2019, v. 7, n. 2, p. 17, doi. 10.3390/econometrics7020017
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- Publication type:
- Article
10
Controlling jumps in correlated processes of Poisson counts.
- Published in:
- Applied Stochastic Models in Business & Industry, 2009, v. 25, n. 5, p. 551, doi. 10.1002/asmb.744
- By:
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11
The Mollified (Discrete) Uniform Distribution and Its Applications.
- Published in:
- WIREs: Computational Statistics, 2025, v. 17, n. 1, p. 1, doi. 10.1002/wics.70016
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12
Stationary count time series models.
- Published in:
- WIREs: Computational Statistics, 2021, v. 13, n. 1, p. 1, doi. 10.1002/wics.1502
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- Publication type:
- Article
13
On the performance of information criteria for model identification of count time series.
- Published in:
- Studies in Nonlinear Dynamics & Econometrics, 2020, v. 24, n. 1, p. N.PAG, doi. 10.1515/snde-2018-0012
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14
An empirical-likelihood-based structural-change test for INAR processes.
- Published in:
- Journal of Statistical Computation & Simulation, 2023, v. 93, n. 3, p. 442, doi. 10.1080/00949655.2022.2109635
- By:
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15
Nonparametric Control Charts for Monitoring Serial Dependence based on Ordinal Patterns.
- Published in:
- Technometrics, 2023, v. 65, n. 3, p. 340, doi. 10.1080/00401706.2022.2157883
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16
The ENBIS‐23 Quality and Reliability Engineering International Special Issue.
- Published in:
- Quality & Reliability Engineering International, 2025, v. 41, n. 3, p. 917, doi. 10.1002/qre.3704
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17
Monitoring count time series: Robustness to nonlinearity when linear models are utilized.
- Published in:
- Quality & Reliability Engineering International, 2022, v. 38, n. 8, p. 4356, doi. 10.1002/qre.3215
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- Publication type:
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18
Control charts for monitoring a Poisson hidden Markov process.
- Published in:
- Quality & Reliability Engineering International, 2021, v. 37, n. 2, p. 484, doi. 10.1002/qre.2745
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- Publication type:
- Article
19
Risk‐based metrics for performance evaluation of control charts.
- Published in:
- Quality & Reliability Engineering International, 2019, v. 35, n. 1, p. 280, doi. 10.1002/qre.2397
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20
Effectiveness of phase I applications for identifying randomly scattered out‐of‐control observations and estimating control chart parameters.
- Published in:
- Quality & Reliability Engineering International, 2018, v. 34, n. 1, p. 78, doi. 10.1002/qre.2239
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21
Control Charts for Monitoring Correlated Poisson Counts with an Excessive Number of Zeros.
- Published in:
- Quality & Reliability Engineering International, 2017, v. 33, n. 2, p. 413, doi. 10.1002/qre.2017
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22
A Two-Sided Cumulative Sum Chart for First-Order Integer-Valued Autoregressive Processes of Poisson Counts.
- Published in:
- Quality & Reliability Engineering International, 2013, v. 29, n. 1, p. 33, doi. 10.1002/qre.1289
- By:
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23
EWMA control charts for monitoring binary processes with applications to medical diagnosis data.
- Published in:
- Quality & Reliability Engineering International, 2010, v. 26, n. 8, p. 795, doi. 10.1002/qre.1098
- By:
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24
Group inspection of dependent binary processes.
- Published in:
- Quality & Reliability Engineering International, 2009, v. 25, n. 2, p. 151, doi. 10.1002/qre.956
- By:
- Publication type:
- Article
25
An ARL-unbiased thinning-based EWMA chart to monitor counts.
- Published in:
- Sequential Analysis, 2018, v. 37, n. 4, p. 487, doi. 10.1080/07474946.2018.1554889
- By:
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26
Guidelines for automating Phase I of control charts by considering effects on Phase-II performance of individuals control chart.
- Published in:
- Quality Engineering, 2020, v. 32, n. 2, p. 223, doi. 10.1080/08982112.2019.1641208
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27
A combined Shewhart-CUSUM chart with switching limit.
- Published in:
- Quality Engineering, 2019, v. 31, n. 2, p. 255, doi. 10.1080/08982112.2018.1479037
- By:
- Publication type:
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28
Efficient accounting for estimation uncertainty in coherent forecasting of count processes.
- Published in:
- Journal of Applied Statistics, 2022, v. 49, n. 8, p. 1957, doi. 10.1080/02664763.2021.1887104
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29
On some measures of ordinal variation.
- Published in:
- Journal of Applied Statistics, 2019, v. 46, n. 16, p. 2905, doi. 10.1080/02664763.2019.1620707
- By:
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30
Novel goodness-of-fit tests for binomial count time series.
- Published in:
- Statistics, 2022, v. 56, n. 5, p. 957, doi. 10.1080/02331888.2022.2134384
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31
Goodness-of-fit tests for binomial AR(1) processes.
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- Statistics, 2015, v. 49, n. 2, p. 291, doi. 10.1080/02331888.2014.974606
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32
Analysis and Forecasting of Risk in Count Processes.
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- Journal of Risk & Financial Management, 2021, v. 14, n. 4, p. 1, doi. 10.3390/jrfm14040182
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33
Generalized discrete autoregressive moving‐average models.
- Published in:
- Applied Stochastic Models in Business & Industry, 2020, v. 36, n. 4, p. 641, doi. 10.1002/asmb.2520
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34
Control charts for monitoring correlated counts with a finite range.
- Published in:
- Applied Stochastic Models in Business & Industry, 2017, v. 33, n. 6, p. 733, doi. 10.1002/asmb.2275
- By:
- Publication type:
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35
Diagnosing and modeling extra-binomial variation for time-dependent counts.
- Published in:
- Applied Stochastic Models in Business & Industry, 2014, v. 30, n. 5, p. 588, doi. 10.1002/asmb.2005
- By:
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36
The Circumstance-Driven Bivariate Integer-Valued Autoregressive Model.
- Published in:
- Entropy, 2024, v. 26, n. 2, p. 168, doi. 10.3390/e26020168
- By:
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37
Discrete-Valued Time Series.
- Published in:
- Entropy, 2023, v. 25, n. 12, p. 1576, doi. 10.3390/e25121576
- By:
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38
Partial Autocorrelation Diagnostics for Count Time Series.
- Published in:
- Entropy, 2023, v. 25, n. 1, p. 105, doi. 10.3390/e25010105
- By:
- Publication type:
- Article
39
Measuring Dispersion and Serial Dependence in Ordinal Time Series Based on the Cumulative Paired ϕ -Entropy.
- Published in:
- Entropy, 2022, v. 24, n. 1, p. 42, doi. 10.3390/e24010042
- By:
- Publication type:
- Article
40
Time Series Modelling.
- Published in:
- Entropy, 2021, v. 23, n. 9, p. 1163, doi. 10.3390/e23091163
- By:
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41
Entropy Based Student's t -Process Dynamical Model.
- Published in:
- Entropy, 2021, v. 23, n. 5, p. 560, doi. 10.3390/e23050560
- By:
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- Article
42
Monitoring the Zero-Inflated Time Series Model of Counts with Random Coefficient.
- Published in:
- Entropy, 2021, v. 23, n. 3, p. 372, doi. 10.3390/e23030372
- By:
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43
Robust Estimation for Bivariate Poisson INGARCH Models.
- Published in:
- Entropy, 2021, v. 23, n. 3, p. 367, doi. 10.3390/e23030367
- By:
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44
Comparative Analysis of Different Univariate Forecasting Methods in Modelling and Predicting the Romanian Unemployment Rate for the Period 2021–2022.
- Published in:
- Entropy, 2021, v. 23, n. 3, p. 325, doi. 10.3390/e23030325
- By:
- Publication type:
- Article
45
Selection of Embedding Dimension and Delay Time in Phase Space Reconstruction via Symbolic Dynamics.
- Published in:
- Entropy, 2021, v. 23, n. 2, p. 221, doi. 10.3390/e23020221
- By:
- Publication type:
- Article
46
Regime-Switching Discrete ARMA Models for Categorical Time Series.
- Published in:
- Entropy, 2020, v. 22, n. 4, p. 458, doi. 10.3390/e22040458
- By:
- Publication type:
- Article
47
BINOMIAL AUTOREGRESSIVE PROCESSES WITH DENSITY-DEPENDENT THINNING.
- Published in:
- Journal of Time Series Analysis, 2014, v. 35, n. 2, p. 115, doi. 10.1002/jtsa.12054
- By:
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48
Distance-Based Analysis of Ordinal Data and Ordinal Time Series.
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- Journal of the American Statistical Association, 2020, v. 115, n. 531, p. 1189, doi. 10.1080/01621459.2019.1604370
- By:
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49
Computing (Bivariate) Poisson Moments Using Stein–Chen Identities.
- Published in:
- American Statistician, 2022, v. 76, n. 1, p. 10, doi. 10.1080/00031305.2020.1763836
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50
Ordinal compositional data and time series.
- Published in:
- Statistical Modelling: An International Journal, 2024, v. 24, n. 6, p. 561, doi. 10.1177/1471082X231190971
- By:
- Publication type:
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