★☆If you are looking to start a new career that is in high demand, then you need to continue reading!★☆ …
Data science is a fusion of multiple disciplines, including statistics, computer science, information technology and domain specific fields. As a …
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books …
Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: …
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse …
This market leading text offers proven, comprehensive, applications-oriented approach. Written by authors who are highly regarded in the field, the …
Leanpub, 2015. — 162 p.This book describes the process of analyzing data in simple and general terms. The authors have …
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient …
R is the world's most popular programming language for data analysis and statistical modeling. The Book of R provides an …
Probability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences …
Until now, few systematic studies of optimal statistical inference for stochastic processes had existed in the financial engineering literature, even …
This book is the first of a larger project that I may try to complete. A second volume should be …
In this irreverent and illuminating book, acclaimed writer and scientist Leonard Mlodinow shows us how randomness, change, and probability reveal …
The chapters in Thinking With Data are based on presentations given at the 33rd Carnegie Symposium on Cognition. The Symposium …
This book is derived from selected papers from the Fourteenth International Congress on Mathematical Education Topic Study Group 12, Teaching …
What mathematics should be learned by today's young people as well as tomorrow's workforce? On the Shoulders of Giants is …
This reference work, updated since the 1997 edition, provides comprehensive information on the major professional leagues in North America--baseball, basketball, …
If you know how to program, you have the skills to turn data into knowledge using the tools of probability …
If you know how to program, you have the skills to turn data into knowledge, using tools of probability and …
Statistics for Biomedical Engineers and Scientists: How to Analyze and Visualize Data provides an intuitive understanding of the concepts of …
Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, …
Drawing on the authors’ two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the …
Principles of Econometrics clearly shows why econometrics is necessary and provides you with the ability to utilize basic econometric tools. …
The previous edition of this manual was about using the software package called gretl to do various econometric tasks required …
This textbook teaches the basics of econometrics and focuses on the acquisition of methods and skills that are essential for …
This book introduces “Astrostatistics” as a subject in its own right with rewarding examples, including work by the authors with …
The Handbook of Computational Statistics - Concepts and Methods ist divided into 4 parts. It begins with an overview of …
![The Book of R: A First Course in Programming and Statistics [Chapters 2-12 ONLY]](https://s3.refhub.ir/images/thumb/The_Book_of_R__A_First_Course_in_Programming__10176.webp)
