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Presence-Only for Marked Point Process Under Preferential Sampling
Preferential sampling models have garnered significant attention in recent years. Although the original model was developed for geostatistics, it...
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Advanced Methods of Statistical Process Control
Following Chap. 2 , we present in this chapter more advanced methods of statistical process control. We...
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Exit Times, Undershoots and Overshoots for Reflected CIR Process with Two-Sided Jumps
In this paper, we investigate the reflected CIR process with two-sided jumps to capture the jump behavior and its non-negativeness. Applying the...
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Infection, Avoidance and Healing Process, Feedback
According to MedizInfo®: Phases of an infectious disease, the phases of infections are as follows: Invasion phase: This phase describes the actual...
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Optimization of the Stacking Process of Wire Mesh Coils in Industrial Processors
This study proposes to optimise the post-production and storage process of electro-welded mesh rolls in companies in the city of Lima, for which this...
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Optimization of Dyeing Process of Cotton Fibers in a Peruvian Textile Company
The textile industry is one of the most polluting industries in the world, due to the significant environmental impact it generates. Therefore, the...
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Statistical Causality for Multivariate Nonlinear Time Series via Gaussian Process Models
The ability to test for statistical causality in linear and nonlinear contexts, in stationary or non-stationary settings, and to identify whether...
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Lean Six Sigma and TPM for the Improvement of Equipment Maintenance Process in a Service Sector Company: A Case Study
Currently, competitiveness within the service industry has reached outstanding levels. In the pursuit of increasing the quality and efficiency of...
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A Two-Species Occupancy Model with a Continuous-Time Detection Process Reveals Spatial and Temporal Interactions
Detection/non-detection data are increasingly collected in continuous time, e.g., via camera traps or acoustic sensors. Application of occupancy...
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A Numerical Approach for Evaluating the Time-Dependent Distribution of a Quasi Birth-Death Process
This paper considers a continuous-time quasi birth-death ( qbd ) process, which informally can be seen as a birth-death process of which the parameters...
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Some Results on the Telegraph Process Confined by Two Non-Standard Boundaries
We analyze the one-dimensional telegraph random process confined by two boundaries, 0 and H > 0. The process experiences hard reflection at the...
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Sequential Maximum Likelihood Estimation for the Squared Radial Ornstein-Uhlenbeck Process
In this paper, we study the properties of a sequential maximum likelihood estimator of the unknown parameter for the squared radial...
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X-FILEs Jam: Ideation Process and Outcomes
This chapter comprises the motivations behind the X-FILEs Jam, the goals expected, and a thorough description of the day’s events, outcomes, and...
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Optimizing Dividends and Capital Injections Limited by Bankruptcy, and Practical Approximations for the Cramér-Lundberg Process
The recent papers Gajek and Kucinsky (Insur Math Econ 73:1–19,
2017 ) and Avram et al. (Mathematics 9(9):931,2021 ) cost induced dichotomy for optimal...
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Bayesian Analysis of a New Bivariate Wiener Degradation Process
Copula functions are often used to describe the dependence between two performance characteristics of a system. However, the reliability of the...
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On the Maximum of a Bivariate Max-INAR(1) Process
In this paper, we introduce a \(\mathbb {Z}_+^2\) -valued...
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Use of Conditional False Alarm Metric in Statistical Process Monitoring
The conditional false alarm rate (CFAR) at a particular time is the probability of a false alarm for an assumed in-control process at that time...
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Multi-scale process modelling and distributed computation for spatial data
Recent years have seen a huge development in spatial modelling and prediction methodology, driven by the increased availability of remote-sensing...
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More good news on the HKM test for multivariate reflected symmetry about an unknown centre
We revisit the problem of testing for multivariate reflected symmetry about an unspecified point. Although this testing problem is invariant with...
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Visualizing the decision rules behind the ROC curves: understanding the classification process
The receiver operating characteristic (ROC) curve is a graphical method commonly used to study the capacity of continuous variables (markers) to...
