Tillämpad matematik

In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use models that explain the probabilistic characteristics of these time series and then utilizes the Bayesian app...

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'Overall, the book is highly technical, including full mathematical proofs of the results stated. Potential readers are post-graduate students or researchers in Quantitative Risk Management willing to have a manual with the state-of-the-art on por...

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Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This problem can be realistically formulated and logically analyzed with optimization theory. This book shows enginee...

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ESSENTIAL MATHEMATICS FOR ECONOMIC ANALYSISFifth Edition An extensive introduction to all the mathematical tools an economist needs is provided in this worldwide bestseller. The scope of the book is to be applauded Dr Michael Reynolds, University ...

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Handbook of Writing for the Mathematical Sciences provides advice on all aspects of scientific writing, with a particular focus on writing mathematics. Its readable style and handy format, coupled with an extensive bibliography and comprehensive i...

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Developed over 20 years of teaching academic courses, the Handbook of Financial Risk Management can be divided into two main parts: risk management in the financial sector; and a discussion of the mathematical and statistical tools used in risk ma...

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"Combat Modeling" is a systematic learning resource and reference text for the quantitative analysis of combat. After a brief overview, authors Washburn and Kress present individual chapters on shooting without feedback; shooting with fe...

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This textbook is aimed at newcomers to nonlinear dynamics and chaos, especially students taking a first course in the subject. The presentation stresses analytical methods, concrete examples, and geometric intuition. The theory is developed system...

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ESSENTIAL MATHEMATICS FOR ECONOMIC ANALYSIS Fifth Edition   An extensive introduction to all the mathematical tools an economist needs is provided in this worldwide bestseller.   The scope of the book is to be applauded Dr Michael Reynol...

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Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra t...

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A comprehensive examination of methods for mediation and interaction, VanderWeele's book is the first to approach this topic from the perspective of causal inference. Numerous software tools are provided, and the text is both accessible and easy t...

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Mathematical Modelling with Case Studies: Using Maple and MATLAB, Third Edition provides students with hands-on modelling skills for a wide variety of problems involving differential equations that describe rates of change. While the book focuses ...

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Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information to make decisions, especiall...

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ESSENTIAL MATHEMATICS FOR ECONOMIC ANALYSISFifth Edition An extensive introduction to all the mathematical tools an economist needs is provided in this worldwide bestseller. The scope of the book is to be applauded Dr Michael Reynolds, University ...

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Blackwell Publishing is delighted to announce that this book has been Highly Commended in the 2004 BMA Medical Book Competition. Here is the judges' summary of this book: "This is a technical book on a technical subject but presented in a del...

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Mathematical models of real life systems and processes are essential in today"s industrial work. To be able to construct such models is therefore a fundamental skill in modern engineering. This is a book about how to build models both from fi...

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Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with a...

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An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and ...

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The fourth edition of Numerical Methods Using MATLAB provides a clear and rigorous introduction to a wide range of numerical methods that have practical applications. The authors' approach is to integrate MATLAB with numerical analysis in a way wh...

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The third edition of this well-established and popular textbook provides a wide-ranging and entertaining introduction to probability and random processes and many of their practical applications. The emphasis is on modelling and understanding rath...

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New Edition: The Nonlinear Workbook (6th Edition)The Nonlinear Workbook provides a comprehensive treatment of all the techniques in nonlinear dynamics together with C++, Java and SymbolicC++ implementations. The book not only covers the theoretica...

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Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technic...

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If you want to increase your confidence in mathematics then look no further! Assuming little prior knowledge, this market-leading text is a great companion for those who have not studied mathematics in depth before. Breaking topics down into short...

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This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos. The author revi...

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Financial, Macro and Micro Econometrics Using R, Volume 42, provides state-of-the-art information on important topics in econometrics, includingmultivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selecti...

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This edition is a reprint of the second edition published by Cengage Learning, Inc. Reprinted with permission.What is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? Sampling: ...

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Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine ...

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This Handbook provides up-to-date coverage of both new developments and well-established fields in the sphere of economic forecasting. The chapters are written by world experts in their respective fields, and are authoritative yet accessible.

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An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and ...

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The tenth edition of this bestselling text includes examples in more detail and more applied exercises; both changes are aimed at making the material more relevant and accessible to readers. Kreyszig introduces engineers and computer scientists to...

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