Results 61 to 70 of about 478,084 (316)

How to use MATLAB to fit the ex-Gaussian and other probability functions to a distribution of response times [PDF]

Tutorials in Quantitative Methods for Psychology, 2008
This article discusses how to characterize response time (RT) frequency distributions in terms of probability functions and how to implement the necessary analysis tools using MATLAB.
Denis Cousineau, Yves Lacouture
doaj  

Fitting of Rainfall Data in Erbil City Using Statistical Distribution Techniques

Zanco Journal of Pure and Applied Sciences, 2023
Rainfall Statistical distribution fitting is essential for the design of water management and water related infrastructure. Future prediction of rainfall events can be made such as floods and drought for a given area of study if the statistical ...
Khalid A. ABBAS, Hassan Sadi Ibrahim
doaj   +1 more source

Problems with fitting to the power-law distribution [PDF]

The European Physical Journal B, 2004
This short communication uses a simple experiment to show that fitting to a power law distribution by using graphical methods based on linear fit on the log-log scale is biased and inaccurate. It shows that using maximum likelihood estimation (MLE) is far more robust.
Goldstein, Michel L., Morris, Steven A., Yen, Gary G.   +2 more
openaire   +2 more sources

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters, Ji Yun Tark, Tiffany M. Chambers, Tania A. Desrosiers, Michael E. Scheurer, Charles Shumate, Wendy N. Nembhard, Mahsa M. Yazdy, Eirini Nestoridi, Amanda E. Janitz, Jean Paul Tanner, Russell S. Kirby, Jason L. Salemi, Yao Yu, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Jeremy M. Schraw   +17 more
wiley   +1 more source

Fitting household income by lognormal distribution.

, 2018
Fitting household income by lognormal distribution.
Wei Nie (175261), Dengfeng Wu (4064428), Fang Yu (156838)   +2 more
core   +1 more source

Distribution fitting results of cash out (CO) prediction errors.

, 2022
Distribution fitting results of cash out (CO) prediction errors.
Booncharoen Sirinaovakul (5523362), Chattriya Jariyavajee (12822281), Suthida Fairee (5523365), Charoenchai Khompatraporn (12822290), Taninnuch Lamjiak (11337394), San Ratanasanya (12822284), Kreecha Puphaiboon (12822287), Jumpol Polvichai (11337406)   +7 more
core   +1 more source

Fitting Heavy Tailed Distributions: The poweRlaw Package

Journal of Statistical Software, 2015
Over the last few years, the power law distribution has been used as the data generating mechanism in many disparate fields. However, at times the techniques used to fit the power law distribution have been inappropriate.
Colin S. Gillespie
doaj   +1 more source

Supporting Survivor‐Centered Care Through Digital Health Integration

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Survivors of childhood cancer face barriers to receiving guideline‐based, long‐term follow‐up care. Two digital tools, Passport for Care (PFC) and Cancer SurvivorLink (SurvivorLink), address complementary gaps by enabling tailored survivorship care plan (SCP) generation, updating, storage, and sharing.
Jordan G. Marchak, Rebecca Williamson‐Lewis, Michael O'Connor, Michael Palgon, Yu‐Ra Kim, Michael Schuckenbrock, Paula Edwards, Abraham Mendoza, Anthony Adams, Brian Arriaga‐Solis, Justin Parker, Harry Tinoco‐Giraldo, Jason King, C. Michael Fordis, Karen E. Effinger, Maria Monica Gramatges   +15 more
wiley   +1 more source

Fitting of simulation data with standard Rice distribution.

, 2022
Fitting of simulation data with standard Rice distribution.
Jian Xu (31545), Jicheng Ding (4281184)
core   +1 more source

Evaluating the Impact of Data Normalization on Probability Distributions

Applied Sciences
Identification of data distribution and data normalization are fundamental steps in data pre-processing and statistical modeling. Probability distribution identification is essential for selecting an appropriate statistical model, whereas normalization ...
Mannat Mand, Birmohan Singh, Vijay Kumar Kukreja   +2 more
doaj   +1 more source