Die gesamte Studienliteratur, die du für dein Studium in Statistics brauchst. Hier findest du eine große Auswahl an E-Books in Statistics. Findest du nicht, was du suchst? Suche nach ISBN, Titel oder Autor.
2.200 Bücher
The R Primer
Claus Thorn Ekstrom
574 kr
Bayesian Model Selection and Statistical Modeling
Tomohiro Ando
868 kr
Introduction to General and Generalized Linear Models
Henrik Madsen, Poul Thyregod
599 kr
Statistical Data Mining Using SAS Applications
George Fernandez
1894 kr
Handbook of Spatial Statistics
Alan E. Gelfand, Montserrat Fuentes, Peter Diggle, Peter Guttorp
721 kr
Frailty Models in Survival Analysis
Andreas Wienke
611 kr
Bayesian Modeling in Bioinformatics
Bani K. Mallick, Dipak K. Dey, Samiran Ghosh
831 kr
Expansions and Asymptotics for Statistics
Christopher G. Small
2164 kr
Measurement Error
John P. Buonaccorsi
624 kr
Bayesian Adaptive Methods for Clinical Trials
Bradley P. Carlin, J. Jack Lee, Peter Muller, Scott M. Berry
Bayesian Statistical Methods
Brian J. Reich, Sujit K. Ghosh
526 kr
Spatial Data Analysis in Ecology and Agriculture Using R
Richard E. Plant
513 kr
Understanding Advanced Statistical Methods
Kevin S. S. Henning, Peter Westfall
1076 kr
Bayesian Data Analysis
Aki Vehtari, Andrew Gelman, David B. Dunson, Donald B. Rubin, Hal S. Stern, John B. Carlin
1124 kr
Nonparametric Methods in Statistics with SAS Applications
Olga Korosteleva
965 kr
Analysis of Questionnaire Data with R
Bruno Falissard
1528 kr
Biostatistics: A Computing Approach
Stewart Anderson
1026 kr
Statistical Inference
Ayanendranath Basu, Chanseok Park, Hiroyuki Shioya
Gaussian Process Regression Analysis for Functional Data
Jian Qing Shi, Taeryon Choi
Robust Estimates of Location
David F. Andrews, Frank R. Hampel
981 kr
Elementary Statistical Analysis
Samuel Stanley Wilks
671 kr
Guide to Tables in Mathematical Statistics
H. O. Hartley, Joseph Arthur Greenwood
2825 kr
Agricultural Statistical Data Analysis Using Stata
George Boyhan
Statistical Computing in C++ and R
Ana Kupresanin, Randall L. Eubank
636 kr