Applied Statistics and Probability for Engineers

By Eric R. Ziegel. Technometrics, 2002

737 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a9a530fd3dae3df42ff72216fe0a8c05d6e60602

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Citations in the corpus

Generalized Linear Models (2002, methodology): “The rst two authors collaborated on a seminal volume in applied modeling (Myers and Montgomery 2002), which had its recent revised edition reported by Ziegel (2002).”
A Comparison between Electrochemical Impedance Spectroscopy and Incremental Capacity-Differential Voltage as Li-ion Diagnostic Techniques to Identify and Quantify the Effects of Degradation Modes within Battery Management Systems (2017, methodology): “Before applying the paired t-test, the sample datamust fulfill the following requirements [41]:”
A Novel Probabilistic Optimal Power Flow Model With Uncertain Wind Power Generation Described by Customized Gaussian Mixture Model (2016, neutral): “Before proceeding to PLF analysis based on (24)-(27), it is necessary to introduce three properties of probabilistic computing [35]: x1 and x2 are two independent RVs and their PDFs are f1(·) and f2(·), respectively.”
Use of exponential hidden Markov models for modelling pavement deterioration (2013, methodology): “the value representing the unexplained variation after fitting the data to the regression model, or in other words the difference between the observed value and the value determined using the regression model, has a normal distribution with a nice bell shape (Figure 3) and their sum around the mean ”
Observations on the use of statistical methods in Food Science and Technology (2014, background): “It is a myth to consider that if R2 N 90% the model is excellent (Montgomery & Runger, 2011).”