John rice illustrators (1 resultados)
Más imágenesIdioma: Inglés
Editorial: Cengage Learning, 2006
Serie: Libro 2 de 32 - Available 2010 Titles Enhanced Web Assign
- Tapa dura
Librería: Coffee Cat Books, Chapel Hill, NC, Estados Unidos de AmericaCoffee Cat Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Aceptable
EUR 39,96
Envío por EUR 6,03Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: Good. 3rd Edition. Good. Cosmetic wear and markings. Coffee stain outer text block that shows on a few margin pages. 3rd Edition. 2006. Cengage Learning, Belmont, California. Pencil markings scattered throughout. Hardcover with moderate wear and rubbing to all corners and edges, scuffing & corner bumping; t…ypical used-copy sticker & stamps on cover. Boards & binding solid. Small coffee stain top outer text block, some of the rear pages show small staining to margins. Sealed DVD present, appears unused. B&w illustrations. No dust jacket. 688 pp. 7.56x9.36". Upper-level text on mathematical statistics, probability & data analysis by John A. Rice of the University of California, Berkeley. Ships from the USA, quickly & w/care. _________________________________________________________________________________________________________________ SYNOPSIS & HISTORY: Third edition hardcover of Mathematical Statistics and Data Analysis by John A. Rice (Cengage Learning / Brooks Cole, ISBN 9780534399429 / 0534399428) covering mathematical statistics, probability theory, estimation, hypothesis testing, and nonparametric methods for advanced undergraduate and entry-level graduate statistics courses, with an included sealed DVD of data sets. Statistics departments and mathematics curricula utilize the Rice mathematical statistics 3rd edition textbook globally for rigorous quantitative training. Coursework focuses on key mathematical concepts including random variables, joint distributions, expected values, limit theorems, and distributions derived from the normal distribution. Additional chapters cover the comparison of two samples, the analysis of variance (ANOVA), categorical data, and linear least squares regression models. Students preparing for statistics, actuarial science, data science, and quantitative finance exams find this reference highly applicable. Integrating computational exercises directly into laboratory classes is made seamless by utilizing the original data files stored on the enclosed DVD media disc.
