Opening book details…
Can I read Time Series: A First Course with Bootstrap Starter (Chapman & Hall/CRC Texts in Statistical Science) on EtoBox?
Time Series: A First Course with Bootstrap Starter (Chapman & Hall/CRC Texts in Statistical Science) by Tucker S. McElroy, Dimitris N. Politis is a business book available to read on EtoBox.
What is Time Series: A First Course with Bootstrap Starter (Chapman & Hall/CRC Texts in Statistical Science) about?
<p>Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych of (i) mathematical completeness, (ii) computational illustration and implementation, and (iii) conciseness and accessibility to upper-level undergraduate and M.S. students. Basic theoretical results are presented in a mathematically convincing way, and the methods of data analysis are developed through examples and exercises parsed in R. A student with a basi
Who reads Time Series: A First Course with Bootstrap Starter (Chapman & Hall/CRC Texts in Statistical Science)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Tucker S. McElroy, Dimitris N. Politis
- Publisher
- Chapman and Hall/CRC
- Published
- 2021
- Language
- EN
- ISBN
- 9780429109553
- Category
- business
- Subjects
- Computer Science, Business, Mathematics
- Updated
- 2026-03-24
More by Tucker S. McElroy, Dimitris N. Politis
Browse all works by Tucker S. McElroy, Dimitris N. Politis
Similar books
- Time Series Analysis (Chapman & Hall/Crc Texts in Statistical Science Series) — Henrik Madsen (2007)
- Survival Analysis Using S: Analysis of Time-to-Event Data (Chapman & Hall/CRC Texts in Statistical Science) — Mara Tableman, Jong Sung Kim; with a contribution from Stephen Portnoy (2003)
- A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science) — Peng Ding (Statistician) (2024)
- Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science) — John Kloke, University of Wisconsin, Madison, WI, USA, Joseph W. McKean, Western Michigan University, Kalamazoo, MI, (2014)
- Nonlinear Time Series: Theory, Methods and Applications with R Examples (Chapman & Hall/CRC Texts in Statistical Science) — Randal Douc; Eric Moulines; David S Stoffer (2014)
- Statistical Methods for Spatial Data Analysis: Texts in Statistical Science (Chapman & Hall/CRC Texts in Statistical Science) — Oliver Schabenberger; Carol A. Gotway; Jim Zidek; Jim Lindsey; Chris Chatfield (2005)