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Perturbation Theory for Linear Operators - Tosio Kato - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Math for Business and Economics - Franz W. Peren - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Math for Business and Economics - Franz W. Peren - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

This 4th edition revised and extended compendium contains and explains essential mathematical formulas within an economic context. Newly added content introduces non-linear optimization, focusing on maximizing or minimizing real problems using at least one non-linear function and continuous variables. It explains how non-linear programs may include various constraints, are influenced by the properties of the objective functions and the admissible domain, and are characterized by iterative solution processes that ideally converge to feasible, locally optimized solutions. A broad range of aids and supportive examples will help readers to understand the formulas and their practical applications. This mathematical formulary is presented in a practice-oriented, clear, and understandable manner, as it is needed for meaningful and relevant application in global business, as well as in the academic setting and economic practice. The topics presented include but are not limited to mathematical signs and symbols, logic, arithmetic, algebra, linear algebra, combinatorics, and financial mathematics, including an international comparison between different national methods used in the calculation of interest, optimization of linear models, functions, differential calculus, integral calculus, elasticities, annuity calculation, economic functions, and the Peren Theorem. Given its scope, the book offers an indispensable reference guide and is a must-read for undergraduate and graduate students, as well as managers, scholars, and lecturers in business, politics, and economics.

DKK 1087.00
1

Calculus and Linear Algebra in Recipes - Christian Karpfinger - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Calculus and Linear Algebra in Recipes - Christian Karpfinger - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

This book provides a clear and easy-to-understand introduction to higher mathematics with numerous examples. The author shows how to solve typical problems in a recipe-like manner and divides the material into short, easily digestible learning units. Have you ever cooked a 3-course meal based on a recipe? That generally works quite well, even if you are not a great cook. What does this have to do with mathematics? Well, you can solve a lot of math problems recipe-wise: Need to solve a Riccati''s differential equation or the singular value decomposition of a matrix? Look it up in this book, you''ll find a recipe for it here. Recipes are available for problems from the · Calculus in one and more variables, · linear algebra, · Vector Analysis, · Theory on differential equations, ordinary and partial, · Theory of integral transformations, · Function theory. Other features of this book include: · The division of Higher Mathematics into approximately 100 chapters of roughly equal length. Each chapter covers approximately the material of a 90-minute lecture. · Many tasks, the solutions to which can be found in the accompanying workbook. · Many problems in higher mathematics can be solved with computers. We always indicate how it works with MATLAB®. For the present 3rd edition, the book has been completely revised and supplemented by a section on the solution of boundary value problems for ordinary differential equations, by the topic of residue estimates for Taylor expansions and by the characteristic method for partial differential equations of the 1st order, as well as by several additional problems.

DKK 689.00
1

Math for Business and Economics - Franz W. Peren - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Learn Data Science Using Python - Engy Fouda - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Learn Data Science Using Python - Engy Fouda - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Harness the capabilities of Python and gain the expertise need to master data science techniques. This step-by-step book guides you through using Python to achieve tasks related to data cleaning, statistics, and visualization. You’ll start by reviewing the foundational aspects of the data science process. This includes an extensive overview of research points and practical applications, such as the insightful analysis of presidential elections. The journey continues by navigating through installation procedures and providing valuable insights into Python, data types, typecasting, and essential libraries like Pandas and NumPy. You’ll then delve into the captivating world of data visualization. Concepts such as scatter plots, histograms, and bubble charts come alive through detailed discussions and practical code examples, unraveling the complexities of creating compelling visualizations for enhanced data understanding. Statistical analysis, linear models, and advanced data preprocessing techniques are also discussed before moving on to preparing data for analysis, including renaming variables, variable rearrangement, and conditional statements. Finally, you’ll be introduced to regression techniques, demystifying the intricacies of simple and multiple linear regression, as well as logistic regression. What You’ll LearnUnderstand installation procedures and valuable insights into Python, data types, typecastingExamine the fundamental statistical analysis required in most data science and analytics reportsClean the most common data set problemsUse linear progression for data predictionWho This Book Is ForData Analysts, data scientists, Python programmers, and software developers new to data science.

DKK 476.00
1

Darboux Transformations and Solitons - Vladimir B. Matveev - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Math for Business and Economics - Franz W. Peren - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Verification, Model Checking, and Abstract Interpretation - - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Verification, Model Checking, and Abstract Interpretation - - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Invited Talks.- Analysis of Systems with Stochastic Process Creation.- Verifying Concurrent Programs with Chalice.- Static Timing Analysis for Hard Real-Time Systems.- Invited Tutorials.- Abstract Interpretation-Based Protection.- Advances in Probabilistic Model Checking.- Building a Calculus of Data Structures.- Regular Papers.- Temporal Reasoning for Procedural Programs.- Improved Model Checking of Hierarchical Systems.- Path-Oriented Reachability Verification of a Class of Nonlinear Hybrid Automata Using Convex Programming.- Complexity Bounds for the Verification of Real-Time Software.- An Abstract Domain to Discover Interval Linear Equalities.- Interpolant Strength.- Checking Bounded Reachability in Asynchronous Systems by Symbolic Event Tracing.- Invariant and Type Inference for Matrices.- Deriving Invariants by Algorithmic Learning, Decision Procedures, and Predicate Abstraction.- Automatic Abstraction for Congruences.- Shape Analysis of Low-Level C with Overlapping Structures.- Abstract Threads.- Shape Analysis with Reference Set Relations.- Shape Analysis in the Absence of Pointers and Structure.- An Analysis of Permutations in Arrays.- Regular Linear Temporal Logic with Past.- Model-Checking In-Lined Reference Monitors.- Considerate Reasoning and the Composite Design Pattern.- RGSep Action Inference.- Best Probabilistic Transformers.- Collections, Cardinalities, and Relations.

DKK 426.00
1

Statistical Quantitative Methods in Finance - Samit Ahlawat - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Statistical Quantitative Methods in Finance - Samit Ahlawat - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Statistical quantitative methods are vital for financial valuation models and benchmarking machine learning models in finance. This book explores the theoretical foundations of statistical models, from ordinary least squares (OLS) to the generalized method of moments (GMM) used in econometrics. It enriches your understanding through practical examples drawn from applied finance, demonstrating the real-world applications of these concepts. Additionally, the book delves into non-linear methods and Bayesian approaches, which are becoming increasingly popular among practitioners thanks to advancements in computational resources. By mastering these topics, you will be equipped to build foundational models crucial for applied data science, a skill highly sought after by software engineering and asset management firms. The book also offers valuable insights into quantitative portfolio management, showcasing how traditional data science tools can be enhanced with machine learning models. These enhancements are illustrated through real-world examples from finance and econometrics, accompanied by Python code. This practical approach ensures that you can apply what you learn, gaining proficiency in the statsmodels library and becoming adept at designing, implementing, and calibrating your models. By understanding and applying these statistical models, you enhance your data science skills and effectively tackle financial challenges. What You Will LearnUnderstand the fundamentals of linear regression and its applications in financial data analysis and predictionApply generalized linear models for handling various types of data distributions and enhancing model flexibilityGain insights into regime switching models to capture different market conditions and improve financial forecastingBenchmark machine learning models against traditional statistical methods to ensure robustness and reliability in financial applications Who This Book Is ForData scientists, machine learning engineers, finance professionals, and software engineers

DKK 391.00
1

Predictive Analytics with SAS and R - Ramchandra S Mangrulkar - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Predictive Analytics with SAS and R - Ramchandra S Mangrulkar - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Gain practical knowledge of application implementation using various programming approaches in predictive analytics. This book serves as a comprehensive guide for both beginners and professionals in the field of predictive analytics, offering core principles and practical insights without requiring an extensive mathematics or statistics background. The book starts with an introduction to analytics in decision making, protective analytics basics, and implementation in various industries. The book then takes you through types of regression, and simple linear regression in detail, followed by a demonstration of R Studio and SAS. Multiple Linear Regression is discussed next along with MLR model diagnostics. The book covers Multivariate Analysis and teaches you how to work with Principal Components Analysis, Factor Analysis, and much more. You also learn Time series Analysis with an understanding of Autoregressive Moving Average (ARMA) Models. After reading the book, you will be able to put predictive analytics principles into practice. What You Will LearnUnderstand modeling, estimating, and evaluating models for forecastingImplement Partial F-Test and Variable Selection MethodDemonstrate each analysis model in R Studio and SASUnderstand SLR and MLR Analysis modelsWho This Book Is ForStudents and professionals in the field of data analysis and intelligence applications

DKK 519.00
1

The Logic of Categorial Grammars - Richard Moot - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

The Analysis of Linear Partial Differential Operators II - Lars Hormander - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Adaptive Business Intelligence - Zbigniew Michalewicz - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Adaptive Business Intelligence - Zbigniew Michalewicz - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Lectures on Nonlinear Hyperbolic Differential Equations - Lars Hoermander - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Computer-Aided Introduction to Econometrics - - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Advances in Cryptology – CRYPTO 2013 - - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Regression - Brian D. Marx - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Regression - Brian D. Marx - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Now in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown through numerous examples and case studies. The most important definitions and statements are concisely summarized in boxes, and the underlying data sets and code are available online on the book''s dedicated website. Availability of (user-friendly) software has been a major criterion for the methods selected and presented. The chapters address the classical linear model and its extensions, generalized linear models, categorical regression models, mixed models, nonparametric regression, structured additive regression, quantile regression and distributional regression models. Two appendices describe the required matrix algebra, as well as elements of probability calculus and statistical inference. In this substantially revised and updated new edition the overview on regression models has been extended, and now includes the relation between regression models and machine learning, additional details on statistical inference in structured additive regression models have been added and a completely reworked chapter augments the presentation of quantile regression with a comprehensive introduction to distributional regression models. Regularization approaches are now more extensively discussed in most chapters of the book. The book primarily targets an audience that includes students, teachers and practitioners in social, economic, and life sciences, as well as students and teachers in statistics programs, and mathematicians and computer scientists with interests in statistical modeling and data analysis. It is written at an intermediate mathematical level and assumes only knowledge of basic probability, calculus, matrix algebra and statistics.

DKK 901.00
1

Organization Management – Dynamic Creative Team Coordination - Stavros Georgiades - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG -

A Basic Course in Topology - Gerd Laures - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Differential Geometry and Homogeneous Spaces - Kai Kohler - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk

Building Bridges II - - Bog - Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - Plusbog.dk