Free Delivery Over $100
|
|
|||
|
||||
OverviewFull Product DetailsAuthor: Walter R. PaczkowskiPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2021 Weight: 0.652kg ISBN: 9783030870256ISBN 10: 3030870251 Pages: 387 Publication Date: 05 January 2023 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of Contents1. Types of Business Problems.- 2. Data for Business Problems.- 3. Beginning Data Handling.- 4. Data Preprocessing.- 5. Data Visualization: The Basics.- 6. OLS Regression Basics.- 7. Time Series Basics.- 8. Statistical Tables.- 9. Advanced Data Handling.- 10. Advanced OLS.- 11. Logistic Regression.- 12. Classification.ReviewsAuthor InformationWalter R. Paczkowski, PhD, has worked at AT&T, AT&T Bell Labs, and AT&T Labs. He founded Data Analytics Corp., a statistical consulting company, in 2001. Dr. Paczkowski is also a part-time lecturer of economics at Rutgers University. He is the author of Deep Data Analytics for New Product Development (2020), Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing (2018), and Market Data Analysis Using JMP (2016). Tab Content 6Author Website:Countries AvailableAll regions |
||||
