Statistics : methods and applications : a comprehensive reference for science, industry, and data mining
By Thomas Hill, P. Lewicki. 2006
647 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/306d35707288caafb27e4c81d33eb83c0384f204
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Guotai Wang
- Sébastien Ourselin
- Wenqi Li
- Maria A. Zuluaga
- Tom Kamiel Magda Vercauteren
- Rosalind Pratt
- Michael Aertsen
- Premal A. Patel
Citations in the corpus
- Anxiety and depression in COVID-19 survivors: Role of inflammatory and clinical predictors (2020, unknown): “Analyses of multivariate and univariate effects were perfomed by using a commercially available software package (StatSoft Statistica 12, Tulsa, OK, USA) and following standard computational procedures (Dobson, 1990; Hill and Lewicki, 2006).”
- Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning (2017, methodology): “We used a paired Student’s t-test to determine whether the performance difference between two segmentation methods was significant [30].”
- Educational data mining: A survey and a data mining-based analysis of recent works (2014, unknown): “…by disciplines such as: probability (Karegar, Isazadeh, Fartash, Saderi, & Navin, 2008), machine learning (Witten, Frank, & Hall, 2011), statistic (Hill & Lewicki, 2006), soft computing (Mitra & Acharya, 2003), artificial intelligence (Bhattacharyya & Hazarika, 2006), and natural language…”