The Input Evaluation of Generalized Bernoulli Processes for Salary Lines Construction by Means of Continuous Time Generalized Non-Homogeneous Semi-Markov Processes

GUGLIELMO DAMICO; GIUSEPPE DI BIASE; FULVIO GISMONDI; RAIMONDO MANCA

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The Input Evaluation of Generalized Bernoulli Processes for Salary Lines Construction by Means of Continuous Time Generalized Non-Homogeneous Semi-Markov Processes

机译：连续时间广义非齐次半马尔可夫过程在薪水线构建中广义伯努利过程的输入评估

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摘要

Salary line forecasting assumes a relevant role in manpower and in pension funds Previously, the authors presented a generalized Bernoulli process, useful for forecasting the evolution of salary lines, taking into account the salary costs, the number of workers at each rank and the probability transitions between the ranks. The problem with applying this model is constructing the probability of transition between the grades. In this article, we will present a model that allows obtaining these probabilities by means of the solution of the evolution equation of a generalization of continuous time non-homogeneous semi-Markov processes.

机译：工资线预测在人力和养老基金中起着重要的作用。以前，作者提出了一个广义的伯努利过程，该过程可用于预测工资线的演变，同时考虑了工资成本，每个级别的工人人数和概率转变。在队伍之间。应用此模型的问题在于构建年级之间的过渡概率。在本文中，我们将提供一个模型，该模型允许通过连续时间非齐次半马尔可夫过程的推广的演化方程的解来获得这些概率。

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《Communications in Statistics》 |2013年第18期|2889-2901|共13页
作者
GUGLIELMO DAMICO; GIUSEPPE DI BIASE; FULVIO GISMONDI; RAIMONDO MANCA;
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作者单位

Department of Drug Sciences University of Chieti-Pescara "G. D'Annunzio" Chieti Italy;

Department of Economic and Managerial Sciences Telematic University "Guglielmo Marconi" Roma Italy;

Department of Mathematics for the Economics Financial and Insurance Decisions via del Castro Laurenziano 9 00161 Rome Italy;

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正文语种 eng
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关键词
Generalized Bernoulli processes; Salary line construction; SemiMarkov processes.;

机译：广义伯努利过程;工资线建设;SemiMarkov过程。;

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1. Likelihood Ratio Derivative Estimation for Finite-Time Performance Measures in Generalized Semi-Markov Processes [J] . Marvin K. Nakayama, Perwez Shahabuddin Management science: Journal of the Institute of Management Sciences . 1998,第10期

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2. An Algorithmic Approach to Discrete Time Non-homogeneous Backward Semi-Markov Reward Processes with an Application to Disability Insurance [J] . Fredrik Stenberg, Raimondo Manca, Dmitrii Silvestrov Methodology and Computing in Applied Probability . 2007,第4期

机译：离散时间非均匀向后半马尔可夫奖励过程的算法方法及其在残疾保险中的应用
3. An Algorithmic Approach to Discrete Time Non-homogeneous Backward Semi-Markov Reward Processes with an Application to Disability Insurance [J] . Fredrik Stenberg, Raimondo Manca, Dmitrii Silvestrov Methodology and computing in applied probability . 2007,第4期

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4. Stable Continuous-Time Generalized Predictive Control of MIMO Time Delay Processes with Unmodelled Dynamics and Input Constraints [C] . Jie Li ICIDSA'06;International conference on impulsive dynamical systems and applications . 2006

机译：具有无模型动力学和输入约束的MIMO时滞过程的稳定连续时间广义预测控制
5. On continuous-time generalized AR(1) processes: Models, statistical inference, and applications to non-normal time series. [D] . Zhu, Rong. 2002

机译：在连续时间的广义AR（1）流程上：模型，统计推断以及对非正常时间序列的应用。
6. Using Semi-Markov processes to study timeliness and tests used in the diagnostic evaluation of suspected breast cancer [O] . R. A. Hubbard, J. Lange, Y. Zhang, -1

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7. Continuous-time anti-windup generalized predictive control of uncertain processes with input constraints and time delays [O] . A. Inoue, K. Takeda, Y. Hirashima -1

机译：输入限制和时间延迟的不确定过程的连续时间防卷绕通用预测控制
8. Monte Carlo Simulation of Markov, Semi-Markov, and Generalized Semi- Markov Processes in Probabilistic Risk Assessment [R] . English, Thomas 2005

机译：概率风险评估中马尔可夫，半马尔可夫和广义半马尔可夫过程的monte Carlo模拟

The Input Evaluation of Generalized Bernoulli Processes for Salary Lines Construction by Means of Continuous Time Generalized Non-Homogeneous Semi-Markov Processes

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