English resourceshttps://lib.hpu.edu.vn/handle/123456789/211392021-07-28T11:15:57Z2021-07-28T11:15:57ZGuide to Discrete Mathematics: An Accessible Introduction to the History, Theory, Logic and ApplicationsO'Regan, Gerardhttps://lib.hpu.edu.vn/handle/123456789/337262020-09-09T09:31:06Z2016-01-01T00:00:00ZGuide to Discrete Mathematics: An Accessible Introduction to the History, Theory, Logic and Applications
O'Regan, Gerard
This stimulating textbook/reference presents a broad and accessible guide to the fundamentals of discrete mathematics, highlighting how the techniques may be applied to various exciting areas in computing. The text is designed to motivate and inspire the reader, encouraging further study in this important skill.
2016-01-01T00:00:00ZStatistical Analysis of Clinical Data on a Pocket Calculator: Statistics on a Pocket CalculatorCleophas, Ton J.Zwinderman, Aeilko H.https://lib.hpu.edu.vn/handle/123456789/337242020-09-09T09:31:46Z2011-01-01T00:00:00ZStatistical Analysis of Clinical Data on a Pocket Calculator: Statistics on a Pocket Calculator
Cleophas, Ton J.; Zwinderman, Aeilko H.
The core principles of statistical analysis are too easily forgotten in today’s world of powerful computers and time-saving algorithms. This step-by-step primer takes researchers who lack the confidence to conduct their own analyses right back to basics, allowing them to scrutinize their own data through a series of rapidly executed reckonings on a simple pocket calculator. A range of easily navigable tutorials facilitate the reader’s assimilation of the techniques, while a separate chapter on next generation Flash prepares them for future developments in the field. This practical volume also contains tips on how to deny hackers access to Flash internet sites. An ideal companion to the author’s co-authored works on statistical analysis for Springer such as Statistics Applied to Clinical Trials, this monograph will help researchers understand the processes involved in interpreting clinical data, as well as being a necessary prerequisite to mastering more advanced statistical techniques. The principles of statistical analysis are easily forgotten in today’s world of time-saving algorithms. This step-by-step primer takes researchers back to basics, enabling them to examine their own data through a series of sums on a simple pocket calculator.
2011-01-01T00:00:00ZClinical Data Analysis on a Pocket Calculator: Understanding the Scientific Methods of Statistical Reasoning and Hypothesis TestingCleophas, Ton J.Zwinderman, Aeilko H.https://lib.hpu.edu.vn/handle/123456789/337252020-09-09T09:32:08Z2016-01-01T00:00:00ZClinical Data Analysis on a Pocket Calculator: Understanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing
Cleophas, Ton J.; Zwinderman, Aeilko H.
In everyone's life the day comes that medical and health care has the highest priority. It is unbelievable, that a field, so important, uses the scientific method so little. The current book is helpful for implementation of the scientific method in the daily life of medical and health care workers. From readers' comments to the first editions of this work, the authors came to realize that statistical software programs is experienced by professionals in the field as black box programs producing lots of p-values, but little answers to scientific questions, and many readers had not been happy with that situation. The pocket calculator analyses appeared to be, particularly, appreciated, because they enabled readers for the first time to understand the scientific methods of statistical reasoning and hypothesis testing. So much so, that it started something like a new dimension in their professional world.
2016-01-01T00:00:00ZStochastic Processes and Calculus: An Elementary Introduction with ApplicationsHassler, Uwehttps://lib.hpu.edu.vn/handle/123456789/337232020-09-09T09:32:53Z2016-01-01T00:00:00ZStochastic Processes and Calculus: An Elementary Introduction with Applications
Hassler, Uwe
This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and economics, more specifically mathematical finance and time series econometrics. Over the past decades stochastic calculus and processes have gained great importance, because they play a decisive role in the modeling of financial markets and as a basis for modern time series econometrics. Mathematical theory is applied to solve stochastic differential equations and to derive limiting results for statistical inference on nonstationary processes. This introduction is elementary and rigorous at the same time. On the one hand it gives a basic and illustrative presentation of the relevant topics without using many technical derivations. On the other hand many of the procedures are presented at a technically advanced level: for a thorough understanding, they are to be proven. In order to meet both requirements jointly, the present book is equipped with a lot of challenging problems at the end of each chapter as well as with the corresponding detailed solutions. Thus the virtual text - augmented with more than 60 basic examples and 40 illustrative figures - is rather easy to read while a part of the technical arguments is transferred to the exercise problems and their solutions.
2016-01-01T00:00:00Z