A5004017499- Statistical Distribution Estimation and Applications
- Probabilistic and Robust Engineering Design
- Reliability and Maintenance Optimization
- Fatigue and fracture mechanics
- Advanced Statistical Methods and Models
- Advanced Statistical Process Monitoring
- Industrial Technology and Control Systems
- Structural Health Monitoring Techniques
- Fault Detection and Control Systems
- Statistical Methods and Inference
- Grey System Theory Applications
- Consumer Market Behavior and Pricing
- Mathematical Approximation and Integration
- Vibrio bacteria research studies
- Antibiotic Resistance in Bacteria
- Consumer Retail Behavior Studies
- Mechanical Engineering and Vibrations Research
- Software Reliability and Analysis Research
- Non-Destructive Testing Techniques
- Advanced Measurement and Detection Methods
- Evaluation and Optimization Models
- Probability and Risk Models
- Innovation Diffusion and Forecasting
- Industrial Vision Systems and Defect Detection
- Engineering Structural Analysis Methods
First People's Hospital of Nanning
2023
Shanghai University of International Business and Economics
2009-2019
Shanghai Normal University
2013
Adaptation to selective pressures is crucial for clinically important pathogens establish epidemics, but the underlying evolutionary drivers remain poorly understood. The current epidemic of carbapenem-resistant Klebsiella pneumoniae (CRKP) poses a significant threat public health. In this study we analyzed genome sequences 794 CRKP bloodstream isolates collected in 40 hospitals China between 2014 and 2019. We uncovered subclonal replacement predominant clone ST11, where previously prevalent...
We consider statistical inference for two fundamental hybrid systems based on masked data: series-parallel, and parallel-series. Under constant, linear hazard functions component life, we present the maximum likelihood, interval estimation of parameters interest. Simulation studies are performed to demonstrate efficiency methods.
We consider the parameter inference for a two-parameter life distribution with bathtub-shaped or increasing failure rate function. present point and interval estimations of interest based on type-II censored samples. Through intensive Monte-Carlo simulations, we assess performance proposed estimation methods by comparison precision. Example applications are demonstrated efficiency methods.
We compare the practical efficiency of step-down and step-up stress accelerated life tests based on four different criteria through theoretical studies, intensive Monte-Carlo simulations. consider Weibull, lognormal distributions for lifetime products at each level; deal with type-I, type-II censoring schemes. Through simulation we demonstrate that under a type-I scheme, test plan results in shorter mean failure time testing units than test. With censoring, is also preferred long lifetimes,...
Abstract This article deals with the problem of estimating parameters generalized exponential distribution based on a complete sample. We consider case when both are unknown. first prove existence and uniqueness maximum likelihood estimators (MLEs) for general sample size. Then we propose inverse moment (IMEs) distribution. The precisions MLEs IMEs compared through numerical simulations. Besides, two methods constructing interval proposed their investigated Keywords: Generalized...
Based on the inverse power law model, maximum likelihood estimation and interval of two-parameter Exponential distribution are derived in detail under constant stress accelerated life test. Secondly, accuracy point is investigated by a large number Monte Carlo simulations. Finally, examples simulation given to illustrate application proposed method.
A new kind of bivariate geometric distribution is proposed, which called as distribution-type II. Then its properties are discussed systematically.
In this paper, we present some characterizations of discrete life distributions, especially for dHNBUE, dHNWUE, dNBUE and dNWUE classes, their relations with geometric distribution.We characterize the distribution through ordered binomial moment study approximation between classes via an upper bound probability difference.The bounds presented are more rigorous than ones given previously.
Birnbaum–Saunders fatigue life distribution is an important failure model in the probability physical methods. It more suitable for describing rules of products than common distributions such as Weibull and lognormal distribution. Besides, it mainly applied to analytical research about degradation electronic product performance. The characteristic properties numerical characteristics image features density function rate are studied generalized BS GBS(α, β, m) this paper. Then point estimates...
The image features of density function and failure rate are studied in detail for two-parameter generalized Birnbaum-Saunders Cauchy fatigue life distribution. logarithmic moment estimation other two point estimations parameters proposed under full sample, the precisions investigated by Monte-Carlo simulations. approximate interval given using Taylor expansion, Finally, several examples show feasibility methods.
In this paper, considering series system of masked data under simple successive censored and multiple life test, the likelihood function maximum estimate are respectively proposed for composed two units kinds situations. One is with constant failure rate, other linear rate through origin. The approximate interval estimates parameters given by using method ratio. Besides, examples show feasibility methods Monte-Carlo simulations.
A four-parameter life distribution ORS(<i>λ, A, m, β</i>) with oscillatory failure rate is given, which can be regarded as a generalization of the Weibull distribution. For three-parameter oscillation type β</i>), image characteristics are theoretically proved, and parameter estimation method given in whole sample case. Finally, paper illustrates feasibility by simulating practical examples.
We obtain the maximum likelihood estimates of parameters MOBVE distribution with tampered failure rate model under step-stress accelerated life test. Thereafter we show feasibility this method by using Monte-Carlo simulation.
The essay works out MLE (Maximum Likelihood Estimation) of probability model parameter about the third sales diffusion curve given by ZHENG Zukang and researches existence estimation. Besides, this inspects accuracy estimation via Monte Carlo simulation throws light on methods simulated data. Key words: Sales model; Maximum Estimation;
Based on the second type of sales diffusion curve proposed by professor Zheng Zukang, existence moment estimation is demonstrated through researching digital characteristics parameters in model. Besides, estimations are calculated. The precision investigated Monte-Carlo simulation, and some examples used to validate this Key words: Impulse purchase behavior; Sales diffusion; Moment estimation; simulation
A new life distribution is proposed, known as "two-parameter generalized exponential sum distribution". We study the density function and failure rate function, average image features numerical characteristics of mean residual distribution. Several methods calculating point estimation parameters are discussed. Through Monte-Carlo simulation, we compare precision estimations. In our opinion, best linear unbiased most optimal solution these methods. At same time, several interval estimations...