Titlebook: Statistical Reliability Engineering; Methods, Models and Hoang Pham Textbook 2022 The Editor(s) (if applicable) and The Author(s), under e

Hazardous

书目名称Statistical Reliability Engineering影响因子(影响力)




书目名称Statistical Reliability Engineering影响因子(影响力)学科排名




书目名称Statistical Reliability Engineering网络公开度




书目名称Statistical Reliability Engineering网络公开度学科排名




书目名称Statistical Reliability Engineering被引频次




书目名称Statistical Reliability Engineering被引频次学科排名




书目名称Statistical Reliability Engineering年度引用




书目名称Statistical Reliability Engineering年度引用学科排名




书目名称Statistical Reliability Engineering读者反馈




书目名称Statistical Reliability Engineering读者反馈学科排名

角斗士

1614-7839 iability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field..978-3-030-76906-2978-3-030-76904-8Series ISSN 1614-7839 Series E-ISSN 2196-999X

平常

Basic Probability, Statistics, and Reliability, not. Statistics is the study of how best one can describe and analyze the data and then draw conclusions or inferences based on the data available. The analysis of the reliability of a system must be based on precisely defined concepts. Since it is readily accepted that a population of supposedly i

Scintigraphy

BUCK

Stochastic Processes,iscrete. The complex continuous process is a process describing a system transition from state to state. The simplest process that will be discussed here is a Markov process. Given the current state of the process, its future behavior does not depend on the past. This chapter describes the concepts

音乐戏剧

Statistical Machine Learning and Its Applications,calculations that commonly used in machine learning algorithms and computations. The chapter will then discuss the concept of singular value decomposition (SVD) and its applications of SVD in the recommender systems such as movie review ratings, and finally discuss the linear regression models.

裂口

1614-7839 els, including in machine learning, standby systems, and sof.This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly

Lice692

ORE

Basic Probability, Statistics, and Reliability,dentical systems, operating under similar conditions, fall at different points in time, then a failure phenomenon can only be described in probabilistic terms. Thus, the fundamental definitions of reliability must depend on the concepts from probability theory.

MIR

Stochastic Processes,of stochastic processes including Markov process, Poisson process, renewal process, quasi-renewal process, and nonhomogeneous Poisson process, and their applications in reliability and availability for degraded systems with repairable components.