-PDF Download- Mathematics And Statistics For The Quantitative Sciences EBOOK

Mathematics and Statistics for the Quantitative Sciences

Author: Matthew Betti

Publisher: CRC Press

Published: 2022-12-07

Total Pages: 472

ISBN-13: 1000806014

Mathematics and Statistics for the Quantitative Sciences was born from a radical reimagining of first-year mathematics. While calculus is often seen as the foundational mathematics required for any scientist, this often leads to mathematics being seen as some, ultimately useless, hoop that needs to be jumped through in order to do what someone really wants to do. This sentiment is everywhere at every level of education. It even shows up in how people stereotype mathematics courses. What this book aims to do, therefore, is serve as a foundational text in everyday mathematics in a way that is both engaging and practically useful. The book seeks to teach the mathematics needed to start to answer fundamental questions like ‘why’ or ‘how’. Why do we only need to take census data once every few years? How do we determine the optimal dosing of a new pharmaceutical without killing people in the process? Or, more generally, what does it even mean to be average? Or what does it mean for two things to actually be different? These questions require a different way of thinking — a quantitative intuition that goes beyond rote memorization and equips readers to meet the quantitative challenges inherent in any applied discipline. Features Draws from a diverse range of fields to make the applications as inclusive as possible Would be ideal as a foundational mathematical and statistical textbook for any applied quantitative science course.

Stochastic Modeling and Mathematical Statistics

Author: Francisco J. Samaniego

Publisher: CRC Press

Published: 2014-01-14

Total Pages: 622

ISBN-13: 1466560479

DOWNLOAD EBOOK →

Quantitative Social Science

Author: Kosuke Imai

Publisher: Princeton University Press

Published: 2021-03-16

Total Pages: 464

ISBN-13: 0691191093

DOWNLOAD EBOOK →

"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--

Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques

Author:

Publisher:

Published:

Total Pages:

ISBN-13: 9814476234

DOWNLOAD EBOOK →

Stochastic Modeling and Mathematical Statistics

Author: Francisco J. Samaniego

Publisher: CRC Press

Published: 2014-01-14

Total Pages: 624

ISBN-13: 1466560460

DOWNLOAD EBOOK →

Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists addresses core issues in post-calculus probability and statistics in a way that is useful for statistics and mathematics majors as well as students in the quantitative sciences. The book’s conversational tone, which provides the mathematical justification behind widely used statistical methods in a reader-friendly manner, and the book’s many examples, tutorials, exercises and problems for solution, together constitute an effective resource that students can read and learn from and instructors can count on as a worthy complement to their lectures. Using classroom-tested approaches that engage students in active learning, the text offers instructors the flexibility to control the mathematical level of their course. It contains the mathematical detail that is expected in a course for "majors" but is written in a way that emphasizes the intuitive content in statistical theory and the way theoretical results are used in practice. More than 1000 exercises and problems at varying levels of difficulty and with a broad range of topical focus give instructors many options in assigning homework and provide students with many problems on which to practice and from which to learn.

Mathematics and Statistics for Life Scientists

Author: Aulay Mackenzie

Publisher: Garland Science

Published: 2005

Total Pages: 188

ISBN-13: 9781859962923

DOWNLOAD EBOOK →

This series focuses on core information and is designed to help students get to grips with a subject quickly and easily. Each title is written in an easy-to-follow manner by respected academics and is well-illustrated with clear diagrams.

Relating Statistics and Experimental Design

Author: Irwin P. Levin

Publisher: SAGE

Published: 1999-02

Total Pages: 108

ISBN-13: 9780761914723

DOWNLOAD EBOOK →

This handy guide gives the novice researcher a clear description of the standard tools of the trade. Unlike some texts which focus on either design or statistics, this book covers the fundamentals of design, together with experiments and observational methods. There is an exposition of major tests of significance with formulas plus easy verbal interpretations, and "boxes" embedded in the text contain prototypic applications.

BIOS Instant Notes in Mathematics and Statistics for Life Scientists

Author: Aulay MacKenzie

Publisher: Taylor & Francis

Published: 2004-07-01

Total Pages: 176

ISBN-13: 1136961240

DOWNLOAD EBOOK →

Instant Notes in Mathematics and Statistics for Life Scientists is aimed at undergraduate life science students who need to improve or brush-up their mathematical and statistical skills to a level which will make the quantitative components of most undergraduate biological courses accessible.

Essential Mathematics and Statistics for Forensic Science

Author: Craig Adam

Publisher: John Wiley & Sons

Published: 2011-09-20

Total Pages: 298

ISBN-13: 1119964180

DOWNLOAD EBOOK →

This text is an accessible, student-friendly introduction to the wide range of mathematical and statistical tools needed by the forensic scientist in the analysis, interpretation and presentation of experimental measurements. From a basis of high school mathematics, the book develops essential quantitative analysis techniques within the context of a broad range of forensic applications. This clearly structured text focuses on developing core mathematical skills together with an understanding of the calculations associated with the analysis of experimental work, including an emphasis on the use of graphs and the evaluation of uncertainties. Through a broad study of probability and statistics, the reader is led ultimately to the use of Bayesian approaches to the evaluation of evidence within the court. In every section, forensic applications such as ballistics trajectories, post-mortem cooling, aspects of forensic pharmacokinetics, the matching of glass evidence, the formation of bloodstains and the interpretation of DNA profiles are discussed and examples of calculations are worked through. In every chapter there are numerous self-assessment problems to aid student learning. Its broad scope and forensically focused coverage make this book an essential text for students embarking on any degree course in forensic science or forensic analysis, as well as an invaluable reference for post-graduate students and forensic professionals. Key features: Offers a unique mix of mathematics and statistics topics, specifically tailored to a forensic science undergraduate degree. All topics illustrated with examples from the forensic science discipline. Written in an accessible, student-friendly way to engage interest and enhance learning and confidence. Assumes only a basic high-school level prior mathematical knowledge.