The American Statistical Arithmetic
Title | The American Statistical Arithmetic PDF eBook |
Author | Francis Henney Smith |
Publisher | |
Pages | 710 |
Release | 1845 |
Genre | Arithmetic |
ISBN |
Smith and Duke's The American Statistical Arithmetic
Title | Smith and Duke's The American Statistical Arithmetic PDF eBook |
Author | Francis Henney Smith |
Publisher | |
Pages | 300 |
Release | 1845 |
Genre | Arithmetic |
ISBN |
The American Catalogue
Title | The American Catalogue PDF eBook |
Author | |
Publisher | |
Pages | 522 |
Release | 1881 |
Genre | American literature |
ISBN |
American national trade bibliography.
The Mathematics of Data
Title | The Mathematics of Data PDF eBook |
Author | Michael W. Mahoney |
Publisher | American Mathematical Soc. |
Pages | 340 |
Release | 2018-11-15 |
Genre | Computers |
ISBN | 1470435756 |
Nothing provided
Physical Chemistry: Statistical Mathematics
Title | Physical Chemistry: Statistical Mathematics PDF eBook |
Author | Ke. Ḍī Jhā |
Publisher | Discovery Publishing House |
Pages | 320 |
Release | 2009 |
Genre | Chemistry, Physical and theoretical |
ISBN | 9788183564458 |
All of Statistics
Title | All of Statistics PDF eBook |
Author | Larry Wasserman |
Publisher | Springer Science & Business Media |
Pages | 446 |
Release | 2013-12-11 |
Genre | Mathematics |
ISBN | 0387217363 |
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II)
Title | Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II) PDF eBook |
Author | Anna Bargagliotti |
Publisher | |
Pages | 124 |
Release | 2020 |
Genre | Statistics |
ISBN | 9781734223514 |
"This document lays out a curriculum framework for pre-K-12 educational programs that is designed to help students achieve data literacy and become statistically literate. The framework and subsequent sections in this book recommend curriculum and implementation strategies covering pre-K-12 statistics education"--