Probability & statistics
Label
Probability & statistics
Name
Probability & statistics
Source
thema
Actions
Incoming Resources
- Subject of20
- Research methods for everyday life, blending qualitative and quantitative approaches, Scott W. VanderStoep, Deirdre D. Johnston
- Statistics in plain English, Timothy C. Urdan
- A handbook of statistical analyses using R, Brian S. Everitt, Torsten Hothorn
- Introductory statistics, Sheldon M. Ross
- The mutual construction of statistics and society, edited by Ann Rudinow Saetnan, Heidi Mork Lomell, and Svein Hammer
- The art of statistics, learning from data, David Spiegelhalter
- Handbook of statistical analysis and data mining applications, Robert Nisbet, John Elder, Gary Miner
- Modeling psychophysical data in R, Kenneth Knoblauch, Laurence T. Maloney
- Statistical models and methods for financial markets, Tze Leung Lai, Haipeng Xing
- Introductory statistics, Sheldon M. Ross
- Bias and causation, models and judgment for valid comparisons, Herbert I. Weisberg
- Doing data science, Rachel Schutt and Cathy O'Neil
- Music data analysis, foundations and applications, edited by Claus Weihs, Dietmar Jannach, Igor Vatolkin, Guenter Rudolph
- Applied multiple regression/correlation analysis for the behavioral sciences.
- A field guide to lies and statistics, a neuroscientist on how to make sense of a complex world, Daniel Levitin
- Principles and practice of structural equation modeling, Rex B. Kline
- Music data mining, edited by Tao Li, Mitsunori Ogihara, George Tzanetakis
- Experimental design, from user studies to psychophysics, Douglas W. Cunningham, Christian Wallraven
- Using multivariate statistics, Barbara G. Tabachnick, Linda S. Fidell
- Geometric data analysis, from correspondence analysis to structured data analysis, Brigitte Le Roux and Henry Rouanet
Outgoing Resources
- Focus1