72 rezultatov
-
Course in Mathematical Statistics and Large Sample Theory(2016) BHATTACHARYA, RABI,LIN, LIZHEN,PATRANGENARU, VICTORThis graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretiVezava: Trda165,36 €
-
Applied Statistics Using R - A Guide for the Social Sciences(2021) MATTHIAS MITTNERVezava: Mehka73,68 €
-
-
Basic Elements of Computational Statistics(2017) HARDLE, WOLFGANG KARL,OKHRIN, OSTAP,OKHRIN, YAREMAThis textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R.Vezava: Trda16,96 €
-
Meta-Analysis with R(2015) SCHWARZER, GUIDO,CARPENTER, JAMES R.,RUCKER, GERTAThis book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with RVezava: Mehka81,62 €
-
Ideals, Varieties, and Algorithms(2015) COX, DAVID A.,LITTLE, JOHN,O'SHEA, DONALThe book also includes current computer algebra material in Appendix C and updated independent projects (Appendix D).The book may serve as a first or second course in undergraduate abstract algebra and with some supplementation perhaps, for beginning gradVezava: Trda66,14 €
-
-
-
An Introduction to Secondary Data Analysis with IBM SPSS Statistics(2016) JOHN MACINNESVezava: Mehka68,66 €
-
Modern Data Science with R(2021) BAUMER, BENJAMIN S. (SMITH COLLEGE, NORTHHAMPTON, MA),KAPLAN, DANIEL T. (SMITH COLLEGE, NORTHHAMPTON, MA),HORTON, NICHOLAS J. (AMHERST COLLEGE, AMHERST, MA)This textbook is designed for an undergraduate course in data science that emphasizes topics in both statistics and computer science.Vezava: Trda141,74 €
-
Geocomputation with R(2020) LOVELACE, ROBIN (UNIVERSITY OF LEEDS, UK),NOWOSAD, JAKUB,MUENCHOW, JANNES (FRIEDRICH SCHILLER UNIVERSITY, JENA, GERMANY)Presents a vision for an introductory and accessible textbook on geographic data analysis, modelling, and visualisation with R. The discipline of Geography captures each of these things, as well as content to get R beginners up-to-speed with R in general.Vezava: Mehka83,10 €
-
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA(2018) KRAINSKI, ELIAS,GOMEZ-RUBIO, VIRGILIO,BAKKA, HAAKON,LENZI, AMANDA,CASTRO-CAMILO, DANIELA,SIMPSON, DANIEL,LINDGREN, FINN,RUE, HAVARDThe Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an alternative to other methods for Bayesian inference, such as Markov Chain Monte Carlo, that are more computationally demanding. In addition, theVezava: Trda181,13 €
-
Getting Started with R(2017) BECKERMAN, ANDREW P. (DEPARTMENT OF ANIMAL AND PLANT SCIENCE, UNIVERSITY OF SHEFFIELD),CHILDS, DYLAN Z. (DEPARTMENT OF ANIMAL AND PLANT SCIENCE, UNIVERSITY OF SHEFFIELD),PETCHEY, OWEN L. (DEPARTMENT OF EVOLUTIONARY BIOLOGY AND ENVIRONMENTAL STUDIES, UNIVERSITY OF ZURICH)A popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned researchers now in a new revised edition, incorporating the updates in the R environment, and also adding guidancVezava: Mehka72,92 €
-
Adventures in Social Research(2022) BABBIE, EARL R.,WAGNER-HUANG, WILLIAM E.,ZAINO, JEANNE S.Vezava: Mehka177,31 €
-
Tidy Modeling with R(2022) KUHN, MAX,SILGE, JULIAGet going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists hoVezava: Mehka66,29 €
-
R Cookbook(2019) LONG, J D,TEETOR, PAULPerform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master.Vezava: Mehka80,05 €
-
Discovering Statistics Using IBM SPSS Statistics(2017) FIELD, ANDYUnrivalled in the way it makes the teaching of statistics through the use of IBM SPSS statistics compelling and accessible to even the most anxious of students. The only statistics textbook you and your students will ever need just got better!95,47 €
-
Introduction to R for Spatial Analysis and Mapping(2018) BRUNSDON, CHRIS (NATIONAL UNIVERSITY OF IRELAND, MAYNOOTH, IRELAND),COMBER, LEX (UNIVERSITY OF LEEDS, UK)This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping.Vezava: Mehka75,36 €
-
Discovering Statistics Using IBM SPSS Statistics(2017) FIELD, ANDYUnrivalled in the way it makes the teaching of statistics through the use of IBM SPSS statistics compelling and accessible to even the most anxious of students. The only statistics textbook you and your students will ever need just got better!Vezava: Trda269,07 €
-
Statistical Computing with R, Second Edition(2019) RIZZO, MARIA L. (BOWLING GREEN STATE UNIVERSITY, OHIO, USA)Vezava: Trda123,81 €