Download Statistical Analysis of Reliability Data (Statistics texts)

Download Statistical Analysis of Reliability Data (Statistics texts)

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Book Details :
Published on: 1991-06-27
Released on:
Original language: English

Reliability is the study of the failure of systems. These systems can involve mechanical or electrical machinery, computer software, weapons or materials. Reliability theory is concerned with modelling the failure mechanisms of systems. Statistics enters reliability theory when failure is an inherently unpredictable phenomenon in which case statements about reliability can only be made in terms of probabilities. Reliability is not a physically measurable quantity like electrical resistance or elastic modulus and can only be assessed via a statistical analysis of data collected from past experience or experimentation. This book describes statistical techniques used for the assessment of reliability. Aimed at readers who have a first course in statistical methods, it develops the specific techniques used in reliability data analysis from a modern computer-orientated viewpoint. Techniques covered include probability plotting, maximum likelihood and Bayesian methods, proportional hazards modelling and the analysis of repairable systems. Some of these techniques are already familiar to those working with survival data in a medical context, but this book describes the differences as well as the similarities when they are applied in reliability. Several data sets are included in full. The final chapter includes the subject of load-sharing systems, highlighting a class of models that have not previously been covered in book form. The book is designed for industrial statisticians, students and teachers of applied statistics, engineers and computer scientists wishing to extend their knowledge of statistics as it is applied to their disciplines. Confusing Statistical Terms 2: Alpha and Beta Oh so many years ago I had my first insight into just how ridiculously confusing all the statistical terminology can be for novices. I was TAing a two-semester ... Qualitative data analysis - SlideShare Qualitative data analysis 1. Qualitative Data Analysis Tilahun Nigatu (MPH) M&E and Research Manager African Medical ... Misuse of statistics - Wikipedia Importance. Statistics may be a principled means of debate with opportunities for agreement but this is true only if the parties agree to a set of rules. Free Statistical Software - StatPages.info Subset Packages: Each of these programs deals with a specific area of statistics (such as power analysis or mulitvariate analysis) or carries out a specific test or ... Statistics - Wikipedia Scope. Statistics is a mathematical body of science that pertains to the collection analysis interpretation or explanation and presentation of data or as a branch ... Dr. Arsham's Statistics Site - home.ubalt.edu Introduction to Statistical Thinking for Decision Making. This site builds up the basic ideas of business statistics systematically and correctly. Power failure: why small sample size undermines the ... A study with low statistical power has a reduced chance of detecting a true effect but it is less well appreciated that low power also reduces the likelihood that a ... A biologist's guide to statistical thinking and analysis Abstract. The proper understanding and use of statistical tools are essential to the scientific enterprise. This is true both at the level of designing one's ... Time Series Analysis - Statistics Textbook How To Identify Patterns in Time Series Data: Time Series Analysis. In the following topics we will first review techniques used to identify patterns in time series ... Intraclass Correlation Real Statistics Using Excel The intraclass correlation (ICC) assesses the reliability of ratings by comparing the variability of different ratings of the same subject to the total variation ...
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