An Introduction to the Science of Statistics: From Theory to Implementation, Preliminary Edition

An introductory textbook, dedicated to a higher level of understanding of the concepts and practical applications of statistics. A solid grasp of concepts and structures in calculus and algebra is required.

**Tag(s):**
Probability
Statistics

**Publication date**: 16 Feb 2016

**ISBN-10**:
n/a

**ISBN-13**:
n/a

**Paperback**:
426 pages

**Views**: 7,908

**Type**: Textbook

**Publisher**:
n/a

**License**:
n/a

**Post time**: 23 Dec 2016 10:00:00

An Introduction to the Science of Statistics: From Theory to Implementation, Preliminary Edition

An introductory textbook, dedicated to a higher level of understanding of the concepts and practical applications of statistics. A solid grasp of concepts and structures in calculus and algebra is required.

From the Preface:

Joseph C. Watkins wrote:Many university students, presumed to be proficient in college algebra, are taught a variety of procedures and standard tests under a well-developed pedagogy. This approach is sufficiently refined so that students have a good intuitive understanding of the underlying principles presented in the course. However, if the statistical needs presented by a given scientific question fall outside the battery of methods presented in the standard curriculum, then students are typically at a loss to adjust the procedures to accommodate the additional demand.

On the other hand, undergraduate students majoring in mathematics frequently have a course on the theory of statistics as a part of their program of study. In this case, the standard curriculum repeatedly finds itself close to the very practically minded subject that statistics is. However, the demands of the syllabus provide very little time to explore these applications with any sustained attention.

Our goal is to find a middle ground.

Despite the fact that calculus is a routine tool in the development of statistics, the benefits to students who have learned calculus are infrequently employed in the statistics curriculum. The objective of this book is to meet this need with a one semester course in statistics that moves forward in recognition of the coherent body of knowledge provided by statistical theory having an eye consistently on the application of the subject. Such a course may not be able to achieve the same degree of completeness now presented by the two more standard courses described above. ...

Tweet

About The Author(s)

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)

Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management

Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Microsoft .NET
Rexx
Perl
PHP
Python
R
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous
Sponsors