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  • Sách/Book

  • Statistics All-in-One For Dummies (+ Chapter Quizzes Online)

    • Authors: Rumsey, Deborah J (2023)

  • Statistics All-in-One For Dummies is packed with lessons, examples, and practice problems to help you slay your stats course. Develop confidence and understanding in statistics with easy-to-understand (even fun) explanations of key concepts. Plus, you'll get access to online chapter quizzes and other resources that will turn you into a stats master. This book teaches you how to interpret graphs, determine probability, critique data, and so much more.
  • Sách/Book

  • Even you can learn statistics and analytics : an easy to understand guide

    • Authors: Levine, David M (2022)

  • This book discusses statistics and analytics using plain language and avoiding mathematical jargon. If you thought you couldnt learn these data analysis subjects because they were too technical or too mathematical, this book is for you! This edition delivers more everyday examples and end-of-chapter exercises and contains updated instructions for using Microsoft Excel.
  • Sách/Book

  • Differential equations and linear algebra

    • Authors: Edwards, C. Henry (2020)

  • The book combines core topics in elementary differential equations with concepts and methods of elementary linear algebra. It starts and ends with discussions of mathematical modeling of real-world phenomena, evident in figures, examples, problems, and applications throughout.
  • Sách/Book

  • Linear algebra and its applications

    • Authors: Lay, David C (2022)

  • For courses in Linear Algebra. Fosters the concepts and skills needed for future careers Linear Algebra and Its Applications offers a modern elementary introduction with broad, relevant applications. With traditional texts, the early stages of the course are relatively easy as material is presented in a familiar, concrete setting, but students often hit a wall when abstract concepts are introduced.
  • Sách/Book

  • Statistical methods

    • Authors: Freund, Rudolf J (2021)

  • Statistical Methods, Fourth Edition, is designed to introduce students to a wide-range of popular and practical statistical techniques. Requiring a minimum of advanced mathematics, it is suitable for undergraduates in statistics, or graduate students in the physical, life, and social sciences.
  • Sách/Book

  • Statistics at square two : understanding modern statistical applications in medicine

    • Authors: Campbell, Michael J (2023)

  • In the sixteen years since the second edition of Statistics at Square Two was published, there have been many developments in statistical methodology and in methods of presenting statistics. MJC is pleased that his colleague Richard Jacques, who has considerable experience in more advanced statistical methods and teaching medical statistics to non- statisticians, has joined him as a co-author. Most of the examples have been updated and two new chapters have been added on meta-analysis and on time series analysis. In addition, reference is made to the many checklists which have appeared since the last edition to enable better reporting of research. This book is intended to build on the latest edition of Statistics at Square One."
  • Sách/Book

  • Numerical methods in computational finance : a partial differential equation (PDE/FDM) approach

    • Authors: Duffy, Daniel J (2022)

  • Ordinary differential equations and partial differential equations form the basis for modelling many kinds of phenomena in areas such as science, engineering, computational finance and more generally, mathematical physics. There are currently no books on the market which can guide a reader with no prior knowledge of PDEs through the basics and onto advanced applications."
  • Sách/Book

  • Mathematical techniques in finance : an introduction

    • Authors: Sadr, Amir (2022)

  • Finance as a distinct field from economics is generally defined as the science or study of the management of funds. The creation of credit, savings, investments, banking institutions, financial markets and products, risk management all fall under the purview of finance. The unifying themes in finance are time, risk and money. Mathematical or quantitative finance is the application of mathematics to these core areas. While simple arithmetic was enough for accounting and keeping ledgers and double-entry bookkeeping, Louis Bachelier's doctoral thesis, Theorie de la speculation published in 1900 used Brownian motion to study stock prices, and is widely recognized as the beginning of quantitative finance. Since then, the use of increasingly sophisticated and specialized mathematics has c...
  • Sách/Book

  • Basic statistics with R : reaching decisions with data

    • Authors: Loftus, Stephen C (2022)

  • Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical inference - including hypothesis testing and confidence intervals.