Description: Applied Linear Regression for Business Analytics with R by Daniel P. McGibney Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Publisher Description Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language. Author Biography Dr. Daniel McGibney is an Assistant Professor of Professional Practice at the University of Miami Herbert Business School, USA. He currently teaches analytics to both graduate and undergraduate students. Over the years, he has taught many analytics and data science classes, ranging from Basic Statistics to Big Data Analytics and Deep Learning. He has taught Applied Linear Regression Analysis to students pursuing their MSBA, MBA, MST, and MAcc. He also actively oversees and mentors graduate capstone projects in Analytics for MSBA students, collaborating with Deloitte, Visa, Carnival, Citi, Experian, and many other companies. Dr. McGibney formerly served as the program director for the Herbert Business Schools MSBA degree program. He advised students, oversaw admissions, expanded industry partnerships, and advanced the program curriculum during his tenure as program director. Details ISBN 303121479X ISBN-13 9783031214790 Title Applied Linear Regression for Business Analytics with R Author Daniel P. McGibney Format Hardcover Year 2023 Pages 276 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:159196713; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 122.2 USD
Location: Fairfield, Ohio
End Time: 2024-10-28T03:01:20.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9783031214790
Type: NA
Publication Name: NA
Book Title: Applied Linear Regression for Business Analytics with R : A Practical Guide to Data Science with Case Studies
Number of Pages: Xvii, 276 Pages
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2023
Topic: Probability & Statistics / Regression Analysis, Operations Research, Commerce, Information Management
Illustrator: Yes
Genre: Mathematics, Business & Economics
Item Weight: 21.6 Oz
Author: Daniel P. Mcgibney
Item Length: 9.3 in
Item Width: 6.1 in
Book Series: International Series in Operations Research and Management Science Ser.
Format: Hardcover