IB Mathematics Higher Level Option: Calculus
IB Mathematics Higher Level Option: Calculus

Author: Marlene Torres-Skoumal

Publisher: Oxford University Press, USA

Published: 2014

Total Pages: 0

ISBN-13: 9780198304845

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Written by experienced IB workshop leaders and curriculum developers, this book covers all the course content and essential practice needed for success in the Calculus Option for Higher Level. Enabling a truly IB approach to mathematics, real-world context is thoroughly blended with mathematical applications, supporting deep understanding and instilling confident mathematical thinking skills. Exam support is integrated, building assessment potential. Complete worked solutions included. - Directly linked to the Oxford Higher Level Course Book, naturally extending learning - Drive a truly IB approach to mathematics, helping students connect mathematical theory with the world around them - The most comprehensive, accurate match to the most recent syllabus, written by experienced workshop leaders - Build essential mathematical skills with extensive practice enabling confident skills-development - Cement assessment potential with examiner guidance and exam questions driving confidence in every topic - Thoroughly integrate TOK and support complex mathematical thinking skills - Complete worked solutions included free online

R For College Mathematics and Statistics
R For College Mathematics and Statistics

Author: Thomas Pfaff

Publisher: CRC Press

Published: 2019-04-01

Total Pages: 267

ISBN-13: 1000006972

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R for College Mathematics and Statistics encourages the use of R in mathematics and statistics courses. Instructors are no longer limited to ``nice'' functions in calculus classes. They can require reports and homework with graphs. They can do simulations and experiments. R can be useful for student projects, for creating graphics for teaching, as well as for scholarly work. This book presents ways R, which is freely available, can enhance the teaching of mathematics and statistics. R has the potential to help students learn mathematics due to the need for precision, understanding of symbols and functions, and the logical nature of code. Moreover, the text provides students the opportunity for experimenting with concepts in any mathematics course. Features: Does not require previous experience with R Promotes the use of R in typical mathematics and statistics course work Organized by mathematics topics Utilizes an example-based approach Chapters are largely independent of each other

Methods of Mathematics Applied to Calculus, Probability, and Statistics
Methods of Mathematics Applied to Calculus, Probability, and Statistics

Author: Richard W. Hamming

Publisher: Courier Corporation

Published: 2012-06-28

Total Pages: 882

ISBN-13: 0486138879

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This 4-part treatment begins with algebra and analytic geometry and proceeds to an exploration of the calculus of algebraic functions and transcendental functions and applications. 1985 edition. Includes 310 figures and 18 tables.

Statistics for Higher Mathematics
Statistics for Higher Mathematics

Author: Ralph Riddiough

Publisher: Nelson Thornes

Published: 1998

Total Pages: 172

ISBN-13: 9780174314967

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Full coverage of the Statistics unit is provided in a separate book which covers everything your students need for this option.

High-Dimensional Probability
High-Dimensional Probability

Author: Roman Vershynin

Publisher: Cambridge University Press

Published: 2018-09-27

Total Pages: 299

ISBN-13: 1108415199

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An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

All of Statistics
All of Statistics

Author: Larry Wasserman

Publisher: Springer Science & Business Media

Published: 2013-12-11

Total Pages: 446

ISBN-13: 0387217363

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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.

Statistics
Statistics

Author: Fiona McGill

Publisher: Nelson Thornes

Published: 2000

Total Pages: 186

ISBN-13: 9780748735631

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This teacher's resource file covers the requirements of all AS and Advanced level mathematics courses and major specifications. There is a section on chapter objectives that lists all the key areas covered in each chapter to aid lesson planning or assessment. Teaching notes provide guidance and ideas on developing and enhancing the material provided in the core book as well as a list of topics that students are likely to find difficult. A question bank of material is included for use in revision with fully worked solutions to all consoldation A questions.

A Gateway to Higher Mathematics
A Gateway to Higher Mathematics

Author: Jason H. Goodfriend

Publisher: Jones & Bartlett Learning

Published: 2005

Total Pages: 346

ISBN-13: 9780763727338

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A Gateway to Higher Mathematics integrates the process of teaching students how to do proofs into the framework of displaying the development of the real number system. The text eases the students into learning how to construct proofs, while preparing students how to cope with the type of proofs encountered in the higher-level courses of abstract algebra, analysis, and number theory. After using this text, the students will not only know how to read and construct proofs, they will understand much about the basic building blocks of mathematics. The text is designed so that the professor can choose the topics to be emphasized, while leaving the remainder as a reference for the students.

Asymptotic Statistics
Asymptotic Statistics

Author: A. W. van der Vaart

Publisher: Cambridge University Press

Published: 2000-06-19

Total Pages: 470

ISBN-13: 9780521784504

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This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the bootstrap, and empirical processes and their applications. The topics are organized from the central idea of approximation by limit experiments, which gives the book one of its unifying themes. This entails mainly the local approximation of the classical i.i.d. set up with smooth parameters by location experiments involving a single, normally distributed observation. Thus, even the standard subjects of asymptotic statistics are presented in a novel way. Suitable as a graduate or Master s level statistics text, this book will also give researchers an overview of the latest research in asymptotic statistics.