Energy Economics, 1st Edition (2017)

-
Energy Economics by Peter Zweifel, Aaron Praktiknjo, Georg Erdmann 1st Edition (2017)


Popular posts from this blog

Programmed Statistics by BL Agarwal

-
Image
This book has sufficient details in question-answer format, conceptual analysis, mathematical formulas, and coverage of a wide range of statistical topics. It Provides A Clear and Comprehensive Synopsis Of Statistics. The book offers ready-made content to help curious minds get ready for exams administered through traditional or internal grading systems, competitions, interviews, viva-voce exams, and applied statistics courses. It is not necessary to run from pillar to post in order to get statistical guidance. The solutions are self-evident. Many times, the answers to objective-type questions come with helpful hints. In a brief amount of time, readers will be able to review their knowledge thanks to the fill-in-the-blanks provided in each chapter. A sufficient amount of multiple-choice questions fosters a thorough comprehension of the ideas.  There are also a good number of numerical problems in the book, all of which call for original thought to be solved. Additionally,
Read more

A Beginner’s Guide to R

-
Image
A Beginner’s Guide to R by Alain Zuur, Elena N. Ieno, Erik Meesters (2009) Highly recommended as an introduction to the R programming language, "A Beginner’s Guide to R" by Alain Zuur, Elena N. Ieno, and Erik Meesters is especially useful for those working in the statistics and data analysis domains. The book offers a strong basis for using R in statistical analysis and is intended to assist new users in getting started with the language. Based on positive reviews, the following are some salient features of the book: Accessible Introduction: The book is commended for providing an introduction to R that is both understandable and intuitive for users. Since it is designed to take readers from the fundamentals to more complex subjects, even people with little to no programming expertise can benefit from it. Exercises and Practical Examples: Including exercises and practical examples is one of the book's strong points. Because the writers are experts in these
Read more

Introduction to Statistics and Data Analysis

-
Image
Introduction to Statistics and Data Analysis by Christian Heumann, Michael Schomaker, Shalabh 1st ed. 2016 "Introduction to Statistics and Data Analysis" by Christian Heumann, Michael Schomaker, and Shalabh is a textbook that aims to provide a comprehensive introduction to statistical concepts and methods. Here are some key points based on general feedback: Extensive Coverage: The book is renowned for its thorough examination of statistical subjects. Typically, it covers basic statistical ideas, data analysis strategies, and statistical approaches that are frequently applied in diverse domains. Clear and Accessible Language: Readers frequently compliment the book on its use of clear and accessible language. The writers try to make difficult statistical ideas clear to those who are not familiar with the field. Real-World Examples: Throughout the book, there are several instances and applications from the real world. This makes learning more interesting and applicable by a
Read more