Works matching IS 1524-1904 AND VI 35 AND IP 4 AND DT 2019
Results: 14
Editorial note.
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- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 4, p. 1124, doi. 10.1002/asmb.2481
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Optimal inventory threshold for a dynamic service make‐to‐stock system with strategic customers.
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- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 4, p. 1103, doi. 10.1002/asmb.2454
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Profiting from correlations: Adjusted estimators for categorical data.
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- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 4, p. 1090, doi. 10.1002/asmb.2452
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Maintenance optimization for second‐hand products following periodic imperfect preventive maintenance warranty period.
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- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 4, p. 1077, doi. 10.1002/asmb.2450
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Multivariate asset‐pricing model based on subordinated stable processes.
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- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 4, p. 1060, doi. 10.1002/asmb.2446
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Assessing some aspects of factor screening with nonnormal responses.
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- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 4, p. 1044, doi. 10.1002/asmb.2444
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Time series of functional data with application to yield curves.
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- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 4, p. 1028, doi. 10.1002/asmb.2443
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Statistical inference for coherent systems with Weibull distributed component lifetimes under complete and incomplete information.
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- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 4, p. 1011, doi. 10.1002/asmb.2440
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Reliability assessment for load‐sharing systems with exponential components using statistical expansion as a correction.
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- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 4, p. 998, doi. 10.1002/asmb.2439
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Bayesian semiparametric Markov switching stochastic volatility model.
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- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 4, p. 978, doi. 10.1002/asmb.2434
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Log‐symmetric regression models: information criteria and application to movie business and industry data with economic implications.
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- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 4, p. 963, doi. 10.1002/asmb.2433
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Optimal harvesting policy of an inland fishery resource under incomplete information.
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- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 4, p. 939, doi. 10.1002/asmb.2428
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- Article
Probabilistic mean value theorems for conditioned random variables with applications.
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- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 4, p. 923, doi. 10.1002/asmb.2427
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- Article
Issue Information.
- Published in:
- Applied Stochastic Models in Business & Industry, 2019, v. 35, n. 4, p. 921, doi. 10.1002/asmb.2364
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- Article