This is the advanced level of econometrics and financial econometrics with some basic theory and heavy applications. Here, our focuses are on the SKILLS of analyzing real data using advanced econometric techniques and statistical softwares such as S
从 Windows 3.0 SDK 发掘的资源，英文原版 + HTML版本 Microsoft Codeview and Utilities User's Guide Microsoft(R) CodeView(R) and Utilities User's Guide Version 2.3 for MS(R) OS/2 and MS-DOS(R) Operating Systems MICROSOFT CORPORATION Information in this document is
This book covers some of the basics of visualizing data in R and summarizing high dimensional data with statistical multivariate analysis techniques. There is less of an emphasis on formal statistical inference methods, as inference is typically not
Use R to optimize your trading strategy and build up your own risk management system About This Book Learn to manipulate, visualize, and analyze a wide range of financial data with the help of built-in functions and programming in R Understand the c
The Bioconductor project is an open source and open development soft- ware project for the analysis and comprehension of genomic data. It is rooted in the open source statistical computing environment R. This book’s coverage is broad and ranges acro
Get to grips with key data visualization and predictive analytic skills using R About This Book Acquire predictive analytic skills using various tools of R Make predictions about future events by discovering valuable information from data using R Co
Unlike other books about R, written from the perspective of statistics, R for Programmers: Mastering the Tools is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quick
Unlike other books about R, written from the perspective of statistics, R for Programmers: Mastering the Tools is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quick
Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to exp
“R Statistical Application Development by Example Beginner’s Guide” explores statistical concepts and the R software, which are well integrated from the word go. This demarcates the separate learning of theory and applications and hence the title be
This book prepares readers to analyze data and interpret statistical results using R more quickly than other texts. R is a challenging program to learn because code must be created to get started. To alleviate that challenge, Professor Gerbing devel
The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-
This book explains the broad topic of automated trading, starting with its mathematics and moving to its computation and execution. Readers will gain a unique insight into the mechanics and computational considerations taken in building a backtester
Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner. About This Book Build your confidence with R and find out how to solve a huge range of data-related
This book explains the broad topic of automated trading, starting with its mathematics and moving to its computation and execution. Readers will gain a unique insight into the mechanics and computational considerations taken in building a backtester
The Book of R is a comprehensive, beginner-friendly guide to R, the world's most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you'll
