Improved threshold diagnostic plots for extreme value analyses

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Compiler Analyses for Improved Return Value Prediction

Speculative method-level parallelism has been shown to benefit from return value prediction. In this paper we propose and analyse two compiler analyses designed to improve the cost and performance of a hybrid return value predictor in a Java virtual machine setting. A return value use analysis determines which return values are consumed, and enables us to eliminate 2.6% of all non-void dynamic ...

متن کامل

Regression Diagnostic Plots

In Multiple linear regression models, problems arise when serious multicollinearity or influential outliers are present in the data. Failure to include significant quadratic or cross-product terms result in model specification error. Simple scatter plots are most of the time not effective in revealing the complex relationships of predictor variables or data problems in multiple linear regressio...

متن کامل

Additional Plots and Subsidiary analyses for

Developmental disorders show wide variations in severity even when, on genetic grounds, it is known that there is a common underlying cause. We used connectionist models of development combined with population modelling techniques to explore possible mechanistic causes of variations in disorder severity. Specifically, we investigated the plausibility of the hypothesis that disorder variability ...

متن کامل

Diagnostic Plots for One-Dimensional Data1

Though the general contribution of diagnostic plots to statistics is accepted, sometimes diagnostic plots seem more of a fashion than a tool. There are uncountable possibilities to design diagnostic plots, not all being of equal use. Diagnostic plots can and should be judged the same way as any other statistical method. We have to ask: What is their power ? What is their reliability ? While we ...

متن کامل

Posterior Propriety in Bayesian Extreme Value Analyses Using Reference Priors

The Generalized Pareto (GP) and Generalized extreme value (GEV) distributions play an important role in extreme value analyses as models for threshold excesses and block maxima, respectively. For each of these distributions we consider Bayesian inference using “reference” prior distributions (in the general sense of priors constructed using formal rules) for the model parameters, specifically a...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Extremes

سال: 2014

ISSN: 1386-1999,1572-915X

DOI: 10.1007/s10687-014-0183-z