Foundations of statistics for data scientists : with R and Python /: with R and Python. (2021)

• Record Type: Book
• Further Information: Note: Alan Agresti and Maria Kateri.
• Authors: Agresti, Alan; Kateri, Maria
• Contents: 1. Introduction to Statistical Science 2. Probability Distributions 3. Sampling Distributions 4. Statistical Inference: Estimation Skip Product Menu 5. Statistical Inference: Significance Testing 6. Linear Models and Least Squares 7. Generalized Linear Models 8. Classification and Clustering 9. Statistical Science: A Historical Overview Appendices
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 519.50285536; Mathematical analysis -- Statistical methods; Quantitative research -- Statistical methods; R (Computer program language); Python (Computer program language)
• Languages: English
• ISBNs: 9781000462937; 9781000462913; 9781003159834
• Related ISBNs: 9780367748456
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.