Download PDF , by Galit Shmueli
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, by Galit Shmueli
Download PDF , by Galit Shmueli
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Product details
File Size: 6070 KB
Print Length: 232 pages
Publisher: Axelrod Schnall Publishers; 2 edition (July 23, 2016)
Publication Date: July 23, 2016
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B01IPLASG6
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Amazon Best Sellers Rank:
#192,322 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
Really helpful. It's less about the codes in it than what it taught me about how to think about forecasting and the processes to go about before doing them. It is a phenomenal book. I do have one criticism which is, close to the end of the book it seemed like a rush to get it done, but, it's still worth the buy
A great book for beginners in the field of time series forecasting. Very informative, yet simple to follow. The forecasting methods are explained in such a way that they can be understood easily. The book reads like a story, effortlessly capturing your interest.The usage of R code is wonderful because it facilitates the practical application of concepts learned throughout the book. Professor Shmeuli's book inspired me to conduct my own research in time series forecasting applied to tornadoes. I strongly recommend this book to all statistics lovers.
Very good book that details all the steps involved in forecasting.
I have taught, and teach, a two-course data mining sequence for the MBA business analytics specialization at my university using Dr. Shmueli’s Data Mining for Business Analytics and Practical Time Series Forecasting textbooks. Both the supporting materials and the textbooks are high-quality products that match up well with the mathematical facility and technical skills of my students. The exposition is accessible to students with a wide range of backgrounds, and balanced between enough mathematics to explain the methods but not so much that it raises barriers to understanding. I looked far and wide for comparable texts, but I know of no other combination that meets the needs of my students as well as these two texts. I unhesitatingly recommend them both.
I wanted to brush up on forecasting to prepare for a job interview. I though this book was a very good introduction to the topic and reasonably priced compared to other forecasting.
Solid book value for money, covers every topic sufficiently with the right amount of information, and use of good data and resourcesl
Really hits the sweet spot for someone looking for a gentle introduction to time series modeling: it covers all the bases (smoothers, ARIMA etc.), compares the pros and cons of different methods, discusses validation and testing, includes example code so you can get started right away and has just enough mathematical notation to simplify the descriptions of the methods. It's succinct but not dumbed down. For how much it costs, you really can't go wrong here.
While the book does go into some detail in some aspects, it is mostly a summary of some of the time series concepts...The main focus here is univariate time series analysis and after some research online most of these concepts can be found online, really wish there was more detailed examples and multiple pictures to help interpret the acf and pacf plots which are a main component to evaluating ARIMA models
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