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  • Sách/Book


  • Authors: Lial, Margaret L (2020)

  • Intermediate algebra text for college-aged students

  • Sách/Book


  • Authors: Lay, David C (2021)

  • With a systems-first approach, the book is appropriate for courses for majors in mathematics, science, and engineering that study systems of differential equations. Because of its emphasis on linearity, the text opens with a full chapter devoted to essential ideas in linear algebra. Motivated by future problems in systems of differential equations, the chapter on linear algebra introduces such

  • Sách/Book


  • Authors: Nông Quốc Chinh (2003)

  • Trình bày lí thuyết và bài tập về không gian mêtric, không gian tôpô, các lớp không gian tôpô

  • Sách/Book


  • Authors: Schmuller, Joseph (2023)

  • A deep dive into the programming language of choice for statistics and data...With R All-in-One For Dummies, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we're all swimming in. Maybe you're pursuing a career in data science, maybe you're looking to infuse a little statistics know-how into your existing career, or maybe you're just R-curious.

  • Sách/Book


  • Authors: Zegarelli, Mark (2023)

  • Offers an introduction to the principles of calculus II, covering such topics as approximate integration, substitution, improper integrals, and numerical analysis

  • Sách/Book


  • Authors: Salcedo, Jesus (2023)

  • You’ll work through practice problems that help you understand the calculations you need to perform, complete predictive analyses, and produce informative graphs. This workbook gives you hands-on exercises to hone your statistical analysis skills with SPSS Statistics 28. Plus, explanations and insider tips help you navigate the software with ease. Practical and easy-to-understand, in classic Dummies style

  • Sách/Book


  • Authors: Robert Bartoszynski (2008)

  • Provides a mathematical framework that permits students to carry out various procedures using any number of computer software packages as opposed to relying on one particular package

  • Sách/Book


  • Authors: John J. Kinney (2009)

  • This handy book contains introductory explanations of the major topics in probability and statistics, including hypothesis testing and regression, while also delving into more advanced topics such as the analysis of sample surveys, analysis of experimental data, and statistical process control. The book recognizes that there are many sampling techniques that can actually improve on simple random sampling, and in addition, an introduction to the design of experiments is provided to reflect recent advances in conducting scientific experiments. This blend of coverage results in the development of a deeper understanding and solid foundation for the study of probability statistics. --

  • Sách/Book


  • Authors: Patrice Bertail (2006)

  • Gives an account of the developments in the field of probability and statistics for dependent data. This book covers a range of topics from Markov chain theory and weak dependence with an emphasis on some developments on dynamical systems, to strong dependence in times series and random fields

  • Sách/Book


  • Authors: Luis Manuel Cruz-Orive (2024)

  • This book presents a comprehensive set of methods for quantifying geometric quantities such as the volume of a tumor, the total surface area of the alveoli in a lung, the length of plant roots, or of blood vessels, the number of neurons in a brain compartment, the connectivity number of trabecular bone, the mean size of grains in a rock, etc..