174,99 zł

A Practical Guide To Data Analysis For Physical Science Students

Książki Obcojęzyczne>Angielskie>Mathematics & science>Physics>Statistical physics

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Sklep: Gigant.pl

448,71 zł

Student's Guide to Data and Error Analysis Cambridge University Press

Książki / Literatura obcojęzyczna

All students taking laboratory courses within the physical sciences and engineering will benefit from this 2011 book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.

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335,65 zł

Guide to Intelligent Data Science Springer Nature Switzerland AG

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Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results.Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included.Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring; includes numerous examples using the open source KNIME Analytics Platform, together with an introductory appendix; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; integrates illustrations and case-study-style examples to support pedagogical exposition; supplies further tools and information at an associated website.This practical and systematic textbook/reference is a "need-to-have" tool for graduate and advanced undergraduate students and essential reading for all professionals who face data science problems. Moreover, it is a "need to use, need to keep" resource following one's exploration of the subject.

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899,64 zł

Nonnegative Matrix and Tensor Factorizations - Applications to Exploratory Multi-way Data Analysis and Blind Source Seperation John Wiley & Sons Inc

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This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF's various extensions and modifications, especially Nonnegative Tensor Factorizations (NTF) and Nonnegative Tucker Decompositions (NTD). NMF/NTF and their extensions are increasingly used as tools in signal and image processing, and data analysis, having garnered interest due to their capability to provide new insights and relevant information about the complex latent relationships in experimental data sets. It is suggested that NMF can provide meaningful components with physical interpretations; for example, in bioinformatics, NMF and its extensions have been successfully applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining. As such, the authors focus on the algorithms that are most useful in practice, looking at the fastest, most robust, and suitable for large-scale models. Key features:* Acts as a single source reference guide to NMF, collating information that is widely dispersed in current literature, including the authors' own recently developed techniques in the subject area.*Uses generalized cost functions such as Bregman, Alpha and Beta divergences, to present practical implementations of several types of robust algorithms, in particular Multiplicative, Alternating Least Squares, Projected Gradient and Quasi Newton algorithms.* Provides a comparative analysis of the different methods in order to identify approximation error and complexity.* Includes pseudo codes and optimized MATLAB source codes for almost all algorithms presented in the book. The increasing interest in nonnegative matrix and tensor factorizations, as well as decompositions and sparse representation of data, will ensure that this book is essential reading for engineers, scientists, researchers, industry practitioners and graduate students across signal and image processing; neuroscience; data mining and data analysis; computer science; bioinformatics; speech processing; biomedical engineering; and multimedia.

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528,00 zł

Handbook of Data Analysis SAGE Publications Ltd

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"This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond". (Environment and Planning). "The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher". (Clive Seale, Brunel University). "With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. " (Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa). "This is an excellent guide to current issues in the analysis of social science data.I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments". (Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey). This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis.In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.

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317,66 zł

Statistical Data Analysis Oxford University Press

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This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques, statistical tests, and methods of parameter estimation. The last three chapters are somewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding).

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451,12 zł

Introduction to Data Analysis in R Springer Nature Switzerland AG

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This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses.

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140,08 zł

Illustrated Guide to Home Forensic Science Experiments O'Reilly Media

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If you're taking a basic course in classical physics, or have a healthy curiosity for the way things work in the physical world, the Illustrated Guide to Home Physics Experiments provides an ideal hands-on introduction to physics lab techniques and data analysis. With this book and a few simple (and inexpensive) tools and materials, you'll learn to conduct experiments that answer questions about our world, make demonstrations to show off physical principles, and do theoretical lab work to discover how the world works. Perfect for do-it-yourselfers, home-schooled high school students, and college students, this book will help you: Learn everything from the basics of motion all the way to particle physics - including energy, thermodynamics, magnetic fields, optics, and much more Take careful measurements of physical phenomena and conduct data analysis Build and perform physics demonstrations that are fascinating and fun Construct computer models to represent aspects of the physical world It's easy to get started. You can build most of the experiments and demonstrations in this book with ordinary household tools, using materials that you can scrounge, borrow, or get free.The most important thing is your willingness to enter the door of discovery that awaits you. The Illustrated Guide to Home Physics Experiments is your key.

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800,65 zł

Stable Isotope Forensics - Methods and Forensic Applications of Stable Isotope Analysis 2e John Wiley and Sons Ltd

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The number-one guide, internationally, to all aspects of forensic isotope analysis, thoroughly updated and revised and featuring many new case studiesThis edition of the internationally acclaimed guide to forensic stable isotope analysis uses real-world examples to bridge discussions of the basic science, instrumentation and analytical techniques underlying forensic isotope profiling and its various technical applications. Case studies describe an array of applications, many of which were developed by the author himself. They include cases in which isotope profiling was used in murder, and drugs-related crime investigations, as well as for pharmaceutical and food authenticity control studies.Updated with coverage of exciting advances occurring in the field since the publication of the 1st edition, this 2nd edition explores innovative new techniques and applications in forensic isotope profiling, as well as key findings from original research. More than a simple update, though, this edition has been significantly revised in order to address serious problems that can arise from non-comparable and unfit-for-purpose stable isotope data. To that end, Part II has been virtually rewritten with greater emphasis now being placed on important quality control issues in stable isotope analysis in general and forensic stable isotope analysis in particular.Written in a highly accessible style that will appeal to practitioners, researchers and students alikeIllustrates the many strengths and potential pitfalls of forensic stable isotope analysisUses recent case examples to bridge underlying principles with technical applicationsPresents hands-on applications that let experienced researchers and forensic practitioners match problems with success storiesIncludes new chapters devoted to aspects of quality control and quality assurance, including scale normalisation, the identical treatment principle, hydrogen exchange and accreditationStable Isotope Forensics, 2nd Edition is an important professional resource for forensic scientists, law enforcement officials, public prosecutors, defence attorneys, forensic anthropologists and others for whom isotope profiling has become an indispensable tool of the trade. It is also an excellent introduction to the field for senior undergraduate and graduate forensic science students."All students of forensic criminology, and all law enforcement officers responsible for the investigation of serious crime , will want to study this book. Wolfram highlights the value, and future potential, of Stable Isotope Forensics as an emerging powerful tool in the investigation of crime."--Roy McComb, Deputy Director, Specialist Investigations, National Crime Agency (NCA), UK"A single author text in these days is rare and the value of this book lies in the dedication and experience of the author which is evident in the clarity of prose, the honest illustration of evidence and the realistic practical application of the subject - it makes this a text of genuine scientific value."-- Prof Dame Sue Black, PhD, DBE, OBE, FRSE, Leverhulme Research Centre for Forensic Science, University of Dundee, U

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359,77 zł

Chaos and Time-Series Analysis Oxford University Press

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An introduction to developments in chaos and related topics in nonlinear dynamics, including the detection and quantification of chaos in experimental data, fractals, and complex systems. Most of the important elementary concepts in nonlinear dynamics are discussed, with emphasis on the physical concepts and useful results rather than mathematical proofs and derivations. While many books on chaos are purely qualitative and many others are highly mathematical, this book fills the middle ground by giving the essential equations, but in the simplest possible form. It assumes only an elementary knowledge of calculus. Complex numbers, differential equations, and vector calculus are used in places, but those tools are described as required. The book is aimed at the student, scientist, or engineer who wants to learn how to use the ideas in a practical setting. It is written at a level suitable for advanced undergraduate and beginning graduate students in all fields of science and engineering.

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553,53 zł

Fundamentals of Brain Network Analysis Elsevier Science Publishing Co Inc

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Fundamentals of Human Imaging Connectomics is the first book to provide an accessible, practical, and comprehensive introduction to imaging connectomics for researchers of any background. Written by experts in all areas of the field, this book contains nontechnical, conceptual, and instructive discussion of each of the core principles of imaging connectomics. Featuring intuitive diagrams, graphical illustrations of key concepts, step-by-step explanations of mathematical formulae, and recommendations for best practices, Fundamentals of Human Imaging Connectomics is an indispensable guide for researchers studying the human connectome. * The only volume to offer a step-by-step introduction to connectomics suitable for both researchers and students.* Provides a general overview, discussion of various issues involved in using neuroimaging to build a connectomic map, the main measures used to analyze connectomic data, an intro to advanced topics in the field, and discussion of as yet unresolved issues and future directions.*Helps readers determine how they can best use fMRI/DTI data to make a brain network, how they can analyze that network using graph theory, and how they can compare/interpret their findings across different groups* Assumes no prior knowledge beyond basic training in human MRI, and adopts a consistent format across chapters to facilitate learning and linking of different concepts

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1137,51 zł

Fundamentals of Bioinformatics and Computational Biology Springer International Publishing AG

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This book offers comprehensive coverage of all the core topics of bioinformatics, and includes practical examples completed using the MATLAB bioinformatics toolbox . It is primarily intended as a textbook for engineering and computer science students attending advanced undergraduate and graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground up, starting with an introductory chapter on molecular biology and genetics. This chapter will enable physical science students to fully understand and appreciate the ultimate goals of applying the principles of information technology to challenges in biological data management, sequence analysis, and systems biology. The first part of the book also includes a survey of existing biological databases, tools that have become essential in today s biotechnology research. The second part of the book covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The main focus of the third part is on modeling biological sequences and patterns as Markov chains. It presents key principles for analyzing and searching for sequences of significant motifs and biomarkers. The last part of the book, dedicated to systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and computational biology.

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735,52 zł

Forensic Botany John Wiley & Sons Inc

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Forensic Botany: A Practical Guide is an accessible introduction to the way in which botanical evidence is identified, collected and analysed in criminal cases. Increasingly this form of evidence is becoming more important in forensic investigation, this book is intended to show how useful simple collection methods and standard plant analysis can be in the course of such investigations and is written in a clear and accessible manner to enhance understanding of the subject for the non-specialist.§Clearly structured throughout, this book combines well known collection techniques in a field oriented format that can be used for casework. Various methods that allow easy collection, transportation, and preservation of evidence are detailed throughout the book.§This book is written for those who have no formal background working with plants. It can be used as a practical guide for students taking forensic science courses, law enforcement training, legal courses, and as a template for plant collection at any scene where plants occur and where rules or laws are involved. Veterinarians, various environmental agencies and anthropologists are examples of disciplines that are more recently in need of plant evidence.§The format of the book is designed to present the reader with all the information needed to conduct a botanical analysis of a crime scene; to highlight the forensic significance of the botanical evidence that may be present; how to collect that evidence in the correct manner and preserve and store that evidence appropriately- also shows how to conduct a laboratory analysis of the plants.§An accessible practical guide to the collection, analysis and presentation of botanical evidence within forensic investigation.§Aimed at the non-specialist looking for an introduction to the field.§Written in a clear and logical manner; what is it? Where can you find help? How can you use plant evidence? Why is this kind of plant important? Where to look for evidence; Evidence collection made easy; evidence preservation; evidence transportation; Chain of custody.§Includes evidence collection data sheet and a laboratory analysis data sheet for use in the field.§Includes key chapters on microscopy analysis of plant evidence and on DNA collection, use and relative costs.§Numerous relevant case studies included to show forensic botany in practice and how to present botanical evidence in court.

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180,28 zł

Writing Scientific Research Articles Wiley

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Writing Scientific Research ArticlesThe new edition of the popular guide for novice and professional scientists alike, providing effective strategies and step-by-step advice for writing scientific papers for publicationFor scientists writing a research article for submission to an international peer-reviewed journal, knowing how to write can be as important as knowing what to write. Writing Scientific Research Articles: Strategy and Steps provides systematic guidance on writing effective scientific papers with the greatest chance for publication. Using clear language, this highly practical guide shows scientists how to apply their analysis and synthesis skills to produce a compelling research article and increase their competence in written communication of science.The third edition is fully revised to reflect changes in the review process and science journal publication. Incorporating current developments in technology and pedagogical practice, brand-new sections cover mapping and planning manuscripts, choosing results, systematic reviews, structured abstracts, and more. Updated material on referee criteria offers valuable insights on what journal editors and referees want to publish and why. Offering a hands-on approach to developing the academic writing skills of scientists in all disciplines and from all language backgrounds, Writing Scientific Research Articles* provides a genre-based pedagogy and clear processes for writing each section of a manuscript across the full range of research article formats and funding applications* presents tested strategies for responding to referee comments and developing discipline-specific language skills for manuscript writing and polishing* pairs each learning step with updated practical exercises to develop writing and data presentation skills based on expert analysis of well-written papers, including provided example articles* includes chapters on the difference between review papers and research papers, and on skill development using journal clubs and writing groups* features a wealth of new information on topics including Open Access publishing, online reviews, and predatory conferences and journalsDesigned for use by individuals as a self-study guide or by groups working with an instructor, Writing Scientific Research Articles: Strategy and Steps is a must-have guide for early-career researchers with limited writing experience, scientists for whom English is an additional language, upper-level undergraduates and graduate students writing for publication, and STEM and English language professionals involved in teaching manuscript writing and publication skills and mentoring students and colleagues.

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495,24 zł

Modern Statistics Birkhauser Verlag AG

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This innovative textbook presents material for a course on modern statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications.  Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail.  A custom Python package is available for download, allowing students to reproduce these examples and explore others.The first chapters of the text focus on analyzing variability, probability models, and distribution functions. Next, the authors introduce statistical inference and bootstrapping, and variability in several dimensions and regression models. The text then goes on to cover sampling for estimation of finite population quantities and time series analysis and prediction, concluding with two chapters on modern data analytic methods. Each chapter includes exercises, data sets, and applications to supplement learning.Modern Statistics: A Computer-Based Approach with Python is intended for a one- or two-semester advanced undergraduate or graduate course. Because of the foundational nature of the text, it can be combined with any program requiring data analysis in its curriculum, such as courses on data science, industrial statistics, physical and social sciences, and engineering.  Researchers, practitioners, and data scientists will also find it to be a useful resource with the numerous applications and case studies that are included. A second, closely related textbook is titled Industrial Statistics: A Computer-Based Approach with Python. It covers topics such as statistical process control, including multivariate methods, the design of experiments, including computer experiments and reliability methods, including Bayesian reliability. These texts can be used independently or for consecutive courses.

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