Mathematical statistics
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Mathematical statistics
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Mathematical statistics
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Incoming Resources
- Probability and statistics by example, by Yuri Suhov, Michael Kelbert
- Statistical theory and method abstracts
- Statistical theory, a concise introduction, Felix Abramovich, Ya'acov Ritov
- Statistical Modeling and Computation, by Dirk P. Kroese, Joshua C.C. Chan
- Analyzing complex survey data, Eun Sul Lee, Ronald N. Forthofer
- Complexity and spatial networks, in search of simplicity, Aura Reggiani, Peter Nijkamp, editors
- Empirical likelihood, Art B. Owen
- Quantitative risk management, concepts, techniques, and tools, Alexander J. McNeil, Rüdiger Frey, Paul Embrechts
- Essentials of statistical inference /, G.A. Young, R.L. Smith
- Probability and statistical inference, from basic principles to advanced models, Miltiadis C. Mavrakakis, Jeremy Penzer
- New Frontiers in Bayesian Statistics, BAYSM 2021, Online, September 1-3, edited by Raffaele Argiento, Federico Camerlenghi, Sally Paganin
- Statistics
- Statistical Methods in Social Science Research, by S P Mukherjee, Bikas K Sinha, Asis Kumar Chattopadhyay
- Forecasting and Assessing Risk of Individual Electricity Peaks, by Maria Jacob, Cláudia Neves, Danica Vukadinović Greetham
- Finite Mixture of Skewed Distributions, by Víctor Hugo Lachos Dávila, Celso Rômulo Barbosa Cabral, Camila Borelli Zeller
- Observational studies, by Paul R. Rosenbaum
- Parametric statistical models and likelihood, Ole E. Barndorff-Nielsen
- Linear Time Series with MATLAB and OCTAVE, by Víctor Gómez
- Statistical theory of sample survey design and analysis, by H.S. Konijn
- Bayesian inference in statistical analysis, George E.P. Box, George C. Tiao
- Basic elements of computational statistics, by Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin
- Quick guide to IBM® SPSS®, statistical analysis with step-by-step examples, Alan C. Elliott (Southern Methodist University), Wayne A. Woodward, (Southern Methodist University)
- The science of Bradley Efron, selected papers, Carl N. Morris, Robert Tibshirani, editors
- Facts from figures, M.J. Moroney
- Fundamentals of mathematical statistics, H.T. Nguyen, G.S. Rogers
- Data reduction; analysing and interpreting statistical data, A. S. C. Ehrenberg
- Understandable statistics, concepts and methods, Charles Henry Brase, Corrinne Pellillo Brase
- Parameter Estimation in Stochastic Volatility Models, by Jaya P. N. Bishwal
- Advanced Statistics for the Behavioral Sciences, A Computational Approach with R, by Jonathon D. Brown
- Markov Renewal and Piecewise Deterministic Processes, by Christiane Cocozza-Thivent
- The Contribution of Young Researchers to Bayesian Statistics, Proceedings of BAYSM2013, edited by Ettore Lanzarone, Francesca Ieva
- Statistics for experimenters, design, innovation, and discovery, George E.P. Box, J. Stuart Hunter, William G. Hunter
- Handbook of regression modeling in people analytics, with examples in R and Python, Keith McNulty
- Data analysis and regression, a second course in statistics, Frederick Mosteller, John W. Tukey
- Pharmaceutical Statistics, MBSW 39, Muncie, Indiana, USA, May 16-18, 2016, edited by Ray Liu, Yi Tsong
- Machine Translation with Minimal Reliance on Parallel Resources, by George Tambouratzis, Marina Vassiliou, Sokratis Sofianopoulos
- Nonparametric estimation under shape constraints, estimators, algorithms, and asymptotics, Piet Groeneboom, Delft University of Technology, Geurt Jongbloed, Delft University of Technology
- German-Japanese Interchange of Data Analysis Results, edited by Wolfgang Gaul, Andreas Geyer-Schulz, Yasumasa Baba, Akinori Okada
- A Graduate Course on Statistical Inference, by Bing Li, G. Jogesh Babu
- Kendall's advanced theory of statistics, originally by Sir Maurice Kendall, Vol.1
- Advances in Data Science, edited by Ilke Demir, Yifei Lou, Xu Wang, Kathrin Welker
- Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry, edited by Susmita Datta, Bart J. A. Mertens
- Monte Carlo Methods, by Adrian Barbu, Song-Chun Zhu
- Statistical tables for biological, agricultural and medical research, by the late Sir Ronald A. Fisher and Frank Yates
- Nonparametric Statistics for Applied Research, by Jared A. Linebach, Brian P. Tesch, Lea M. Kovacsiss
- Basics of Modern Mathematical Statistics, Exercises and Solutions, by Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang
- Introduction to statistical methods, Donald L. Harnett
- Generalized Hyperbolic Secant Distributions, With Applications to Finance, by Matthias J. Fischer
- Modern Statistical Methods for Spatial and Multivariate Data, edited by Norou Diawara
- Statistics of extremes, theory and applications, Jan Beirlant ... [and others], with contributions from Daniel De Waal, Chris Ferro
Outgoing Resources
- Focus1