Mathematical Statistical

New PDF release: An Introduction to Statistics with Python: With Applications

By Thomas Haslwanter

ISBN-10: 3319283154

ISBN-13: 9783319283159

This textbook offers an
introduction to the loose software program Python and its use for statistical data
analysis. It covers universal statistical assessments for non-stop, discrete and
categorical information, in addition to linear regression research and issues from survival
analysis and Bayesian records. operating code and knowledge for Python solutions
for every one attempt, including easy-to-follow Python examples, could be reproduced
by the reader and strengthen their fast realizing of the subject. With
recent advances within the Python surroundings, Python has develop into a favored language
for clinical computing, delivering a robust setting for statistical data
analysis and a fascinating replacement to R. The e-book is meant for master
and PhD scholars, usually from the lifestyles and scientific sciences, with a basic
knowledge of records. because it additionally offers a few records historical past, the
book can be utilized by way of an individual who desires to practice a statistical data
analysis.   

  

Show description

Read or Download An Introduction to Statistics with Python: With Applications in the Life Sciences (Statistics and Computing) PDF

Similar mathematical & statistical books

Read e-book online Functional and Phylogenetic Ecology in R (Use R!) PDF

Practical and Phylogenetic Ecology in R is designed to coach readers to exploit R for phylogenetic and sensible trait analyses. over the last decade, a dizzying array of instruments and techniques have been generated to include phylogenetic and practical details into conventional ecological analyses. more and more those instruments are applied in R, therefore significantly increasing their influence.

Download e-book for kindle: A Course in Mathematical Statistics and Large Sample Theory by Rabi Bhattacharya,Lizhen Lin,Victor Patrangenaru

This graduate-level textbook is essentially geared toward graduate scholars of records, arithmetic, technology, and engineering who've had an undergraduate direction in data, an higher department path in research, and a few acquaintance with degree theoretic likelihood. It offers a rigorous presentation of the middle of mathematical information.

Download e-book for iPad: Outlier Analysis by Charu C. Aggarwal

This ebook offers entire assurance of the sector of outlier research from a working laptop or computer technological know-how standpoint. It integrates equipment from facts mining, computing device studying, and information in the computational framework and hence appeals to a number of groups. The chapters of this e-book may be prepared into 3 categories:Basic algorithms: Chapters 1 via 7 speak about the elemental algorithms for outlier research, together with probabilistic and statistical tools, linear tools, proximity-based tools, high-dimensional (subspace) equipment, ensemble equipment, and supervised tools.

Linear Regression by David J. Olive PDF

This article covers either a number of linear regression and a few experimental layout versions. The textual content makes use of the reaction plot to imagine the version and to discover outliers, doesn't suppose that the mistake distribution has a recognized parametric distribution, develops prediction periods that paintings while the mistake distribution is unknown, indicates bootstrap speculation assessments which may be invaluable for inference after variable choice, and develops prediction areas and massive pattern thought for the multivariate linear regression version that has m reaction variables.

Extra resources for An Introduction to Statistics with Python: With Applications in the Life Sciences (Statistics and Computing)

Sample text

Download PDF sample

An Introduction to Statistics with Python: With Applications in the Life Sciences (Statistics and Computing) by Thomas Haslwanter


by Michael
4.0

Rated 4.89 of 5 – based on 18 votes