A Practical Guide to Data Analysis for Physical Science Students

Author: Louis Lyons,Lyons Louis

Publisher: Cambridge University Press

ISBN: 9780521424639

Category: Science

Page: 95

View: 3188

This textbook is intended for undergraduates who are carrying out laboratory experiments in the physical sciences for the first time. It is a practical guide on how to analyze data and estimate errors. The necessary formulas for performing calculations are given, and the ideas behind them are explained, although this is not a formal text on statistics. Specific examples are worked through step by step in the text. Emphasis is placed on the need to think about whether a calculated error is sensible. Students should take this book with them to the laboratory, and the format is intended to make this convenient. The book will provide the necessary understanding of what is involved, should inspire confidence in the method of estimating errors, and enable numerical calculations without too much effort.
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Practical Statistics for Astronomers

Author: J. V. Wall,C. R. Jenkins

Publisher: Cambridge University Press

ISBN: 1107393701

Category: Science

Page: N.A

View: 3763

Astronomy needs statistical methods to interpret data, but statistics is a many-faceted subject that is difficult for non-specialists to access. This handbook helps astronomers analyze the complex data and models of modern astronomy. This second edition has been revised to feature many more examples using Monte Carlo simulations, and now also includes Bayesian inference, Bayes factors and Markov chain Monte Carlo integration. Chapters cover basic probability, correlation analysis, hypothesis testing, Bayesian modelling, time series analysis, luminosity functions and clustering. Exercises at the end of each chapter guide readers through the techniques and tests necessary for most observational investigations. The data tables, solutions to problems, and other resources are available online at www.cambridge.org/9780521732499. Bringing together the most relevant statistical and probabilistic techniques for use in observational astronomy, this handbook is a practical manual for advanced undergraduate and graduate students and professional astronomers.
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Practical Data Analysis in Chemistry

Author: Marcel Maeder,Yorck-Michael Neuhold

Publisher: Elsevier

ISBN: 9780080548838

Category: Science

Page: 340

View: 719

The majority of modern instruments are computerised and provide incredible amounts of data. Methods that take advantage of the flood of data are now available; importantly they do not emulate 'graph paper analyses' on the computer. Modern computational methods are able to give us insights into data, but analysis or data fitting in chemistry requires the quantitative understanding of chemical processes. The results of this analysis allows the modelling and prediction of processes under new conditions, therefore saving on extensive experimentation. Practical Data Analysis in Chemistry exemplifies every aspect of theory applicable to data analysis using a short program in a Matlab or Excel spreadsheet, enabling the reader to study the programs, play with them and observe what happens. Suitable data are generated for each example in short routines, this ensuring a clear understanding of the data structure. Chapter 2 includes a brief introduction to matrix algebra and its implementation in Matlab and Excel while Chapter 3 covers the theory required for the modelling of chemical processes. This is followed by an introduction to linear and non-linear least-squares fitting, each demonstrated with typical applications. Finally Chapter 5 comprises a collection of several methods for model-free data analyses. * Includes a solid introduction to the simulation of equilibrium processes and the simulation of complex kinetic processes. * Provides examples of routines that are easily adapted to the processes investigated by the reader * 'Model-based' analysis (linear and non-linear regression) and 'model-free' analysis are covered
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Resampling Methods

A Practical Guide to Data Analysis

Author: Phillip I. Good

Publisher: Springer Science & Business Media

ISBN: 081764444X

Category: Mathematics

Page: 218

View: 6341

This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware. New to the third edition are additional program listings and screen shots of C++, CART, Blossom, Box Sampler (an Excel add-in), EViews, MATLAB, R, Resampling Stats, SAS macros, S-Plus, Stata, or StatXact, which accompany each resampling procedure. A glossary and solutions to selected exercises have also been added. With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for statisticians, biostatisticians, statistical consultants, students, and research professionals in the biological, physical, and social sciences, engineering, and technology.
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Statistical Data Analysis

Author: Glen Cowan

Publisher: Oxford University Press

ISBN: 0198501560

Category: Mathematics

Page: 197

View: 2611

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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Data Analysis Methods in Physical Oceanography

Author: William J. Emery,Richard E. Thomson

Publisher: Gulf Professional Publishing

ISBN: 9780444507570

Category: Science

Page: 638

View: 3278

Data Analysis Methods in Physical Oceanography is a practical reference guide to established and modern data analysis techniques in earth and ocean sciences. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on 'Convolution and Fourier transforms'. Intended for both students and established scientists, the five major chapters of the book cover data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. Chapter 5 on time series analysis is a book in itself, spanning a wide diversity of topics from stochastic processes and stationarity, coherence functions, Fourier analysis, tidal harmonic analysis, spectral and cross-spectral analysis, wavelet and other related methods for processing nonstationary data series, digital filters, and fractals. The seven appendices include unit conversions, approximation methods and nondimensional numbers used in geophysical fluid dynamics, presentations on convolution, statistical terminology, and distribution functions, and a number of important statistical tables. Twenty pages are devoted to references. Featuring: . An in-depth presentation of modern techniques for the analysis of temporal and spatial data sets collected in oceanography, geophysics, and other disciplines in earth and ocean sciences. . A detailed overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data. . 7 appendices especially applicable to earth and ocean sciences ranging from conversion of units, through statistical tables, to terminology and non-dimensional parameters. In praise of the first edition: "(...)This is a very practical guide to the various statistical analysis methods used for obtaining information from geophysical data, with particular reference to oceanography(...) The book provides both a text for advanced students of the geophysical sciences and a useful reference volume for researchers." Aslib Book Guide Vol 63, No. 9, 1998 "(...)This is an excellent book that I recommend highly and will definitely use for my own research and teaching." EOS Transactions, D.A. Jay, 1999 "(...)In summary, this book is the most comprehensive and practical source of information on data analysis methods available to the physical oceanographer. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations." Oceanography, Vol. 12, No. 3, A. Plueddemann, 1999 "(...)Data Analysis Methods in Physical Oceanography is highly recommended for a wide range of readers, from the relative novice to the experienced researcher. It would be appropriate for academic and special libraries." E-Streams, Vol. 2, No. 8, P. Mofjelf, August 1999
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Compendium of Practical Astronomy: Instrumentation and reduction techniques

Author: Harry J. Augensen,Wulff D. Heintz

Publisher: N.A

ISBN: 9783540535966

Category: Science

Page: 540

View: 573

The Compendium of Practical Astronomy is a revised and enlarged English version of the fourth edition of G. Roth's famous handbook for stargazers. In three volumes 28 carefully edited articles, aimed especially at amateur astronomers and students and teachers of astronomy in high schools and colleges, cover the length and breadth of practical astronomy. Volume 1 contains information on modern instrumentation and reduction techniques, including spherical astronomy, error estimations, telescope mountings, astrophotography, and more. Volume 2 covers the planetary system, with contributions on artificial satellites, comets, the polar aurorae, and the effects of the atmosphere on observational data. Volume 3 is devoted to stellar objects, variable stars and binary stars in particular. An introduction to the astronomical literature and a comprehensive chapter on astronomy education and instructional aids make the Compendium a useful complement to any college library, in addition to its being essential reading for all practical astronomers.
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Statistics, Data Mining, and Machine Learning in Astronomy

A Practical Python Guide for the Analysis of Survey Data

Author: Željko Ivezić,Andrew J. Connolly,Jacob T VanderPlas,Alexander Gray

Publisher: Princeton University Press

ISBN: 1400848911

Category: Science

Page: 552

View: 3206

As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the upcoming Large Synoptic Survey Telescope. It serves as a practical handbook for graduate students and advanced undergraduates in physics and astronomy, and as an indispensable reference for researchers. Statistics, Data Mining, and Machine Learning in Astronomy presents a wealth of practical analysis problems, evaluates techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. For all applications described in the book, Python code and example data sets are provided. The supporting data sets have been carefully selected from contemporary astronomical surveys (for example, the Sloan Digital Sky Survey) and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, evaluate the methods, and adapt them to their own fields of interest. Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets Features real-world data sets from contemporary astronomical surveys Uses a freely available Python codebase throughout Ideal for students and working astronomers
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The Observatory

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Astronomy

Page: N.A

View: 8119

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Finite-Elemente-Methoden

Author: Klaus-Jürgen Bathe

Publisher: Springer Verlag

ISBN: 9783540668060

Category: Technology & Engineering

Page: 1253

View: 3757

Dieses Lehr- und Handbuch behandelt sowohl die elementaren Konzepte als auch die fortgeschrittenen und zukunftsweisenden linearen und nichtlinearen FE-Methoden in Statik, Dynamik, Festkörper- und Fluidmechanik. Es wird sowohl der physikalische als auch der mathematische Hintergrund der Prozeduren ausführlich und verständlich beschrieben. Das Werk enthält eine Vielzahl von ausgearbeiteten Beispielen, Rechnerübungen und Programmlisten. Als Übersetzung eines erfolgreichen amerikanischen Lehrbuchs hat es sich in zwei Auflagen auch bei den deutschsprachigen Ingenieuren etabliert. Die umfangreichen Änderungen gegenüber der Vorauflage innerhalb aller Kapitel - vor allem aber der fortgeschrittenen - spiegeln die rasche Entwicklung innerhalb des letzten Jahrzehnts auf diesem Gebiet wieder.
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Announcer

Author: American Association of Physics Teachers

Publisher: N.A

ISBN: N.A

Category: Physics

Page: N.A

View: 6751

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Statistical Challenges in Modern Astronomy IV

Proceedings of a Conference Held at Pennsylvania State University, University Park, Pennsylvania, USA, 12-15 June 2006

Author: Gutti Jogesh Babu,Eric D. Feigelson

Publisher: Astronomical Society of the pacific

ISBN: 9781583812402

Category: Science

Page: 448

View: 2810

"This is the fourth in a series of international conferences for the vanguard of researchers in the cross-disciplinary field of astrostatistics. Both astronomical and statistical communities now recognize the wide array of fascinating methodological issues faced by the modern astronomer. Ranging from terabyte wide-field surveys to small-N samples, from cosmology to the search for Earth-like planets, astronomical research can no longer be pursued with a small toolbox of familiar statistical methods. Over thirty distinguished scholars from both fields presented invited talks and commentaries on leading problems in astrostatistics. The methodological challenges of inferring cosmological insights from the cosmic microwave background fluctuations, the distribution of galaxies in space, gravitational lensing, and galaxy structure wre describe in detail. Time series analysis is discussed in a variety of contexts: sparse Poisson data, multiply-periodic systems, gravitational wave detection, and most dramatically in the search for extrasolar planets. Here sophisticated Bayesian model selection with MCMC computations plays a critical role. Other topics covered include image processing, analysis of mega-datasets from large surveys, and small-N problems in both astronomy and particle physics. The volume ends with cross-disciplinary overviews and software tutorials. The book will be valuable to graduate students and researchers in both astronomy and statistics who seek insights into this promising avenue of cross-disciplinary research."--Publisher's website.
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The Local Environment

FAST 1, Foundational Approaches in Science Teaching

Author: N.A

Publisher: CRDG

ISBN: 0937049689

Category: Environmental education

Page: 473

View: 3599

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Key Concepts in Sport and Exercise Research Methods

Author: Michael Atkinson

Publisher: SAGE

ISBN: 1446292029

Category: Social Science

Page: 256

View: 2976

"What a helpful book! This will be a 'friend ' to many undergraduate students looking for clarification." - Helen Hazelwood, St Mary's University College "This is a great book that really helps the students understand research and the complex processes that can often daunt even the most intelligent students." - Phil Barter, Middlesex University "Few can bring research methods to life like Mike Atkinson. His breadth of research interests and experience mean he can introduce you to all you need to know and inspire you to get down to doing some research yourself." - Dominic Malcolm, Loughborough University This book systematically demonstrates the significance and application of research methods in plain language. Written for students, it contains the core methodological concepts, practices and debates they need to understand and apply research methods within the field of sport and exercise. It provides a comprehensive panoramic introduction which will reassure and empower students. Written by a leading academic and drawing on years of teaching experience, it includes carefully cross-referenced entries which critically engage with interdisciplinary themes and data. Each concept includes: clear definitions suggestions for further reading comprehensive examples practical applications Pragmatic, lucid and concise the book will provide essential support to students in sports studies, sport development, sport and exercise science, kinesiology and health.
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Das Handbuch für Startups

Author: Bob Dorf,Steve Blank,Nils Högsdal,Daniel Bartel

Publisher: O'Reilly Germany

ISBN: 3955618137

Category: Business & Economics

Page: 512

View: 8677

Ein Startup ist nicht die Miniaturausgabe eines etablierten Unternehmens, sondern eine temporäre, flexible Organisation auf der Suche nach einem nachhaltigen Geschäftsmodell: Das ist die zentrale Erkenntnis, die dem "Handbuch für Startups" zugrundeliegt. Es verbindet den Lean-Ansatz, Prinzipien des Customer Development sowie Konzepte wie Design Thinking und (Rapid) Prototyping zu einem umfassenden Vorgehensmodell, mit dem sich aus Ideen und Innovationen tragfähige Geschäftsmodelle entwickeln lassen. Lean Startup & Customer Development: Der Lean-Ansatz für Startups basiert, im Unterschied zum klassischen Vorgehen, nicht auf einem starren Businessplan, der drei Jahre lang unverändert umzusetzen ist, sondern auf einem beweglichen Modell, das immer wieder angepasst wird. Sämtliche Bestandteile der Planung – von den Produkteigenschaften über die Zielgruppen bis hin zum Vertriebsmodell – werden als Hypothesen gesehen, die zu validieren bzw. zu falsifizieren sind. Erst nachdem sie im Austausch mit den potenziellen Kunden bestätigt wurden und nachhaltige Verkäufe möglich sind, verlässt das Startup seine Suchphase und widmet sich der Umsetzung und Skalierung seines Geschäftsmodells. Der große Vorteil: Fehlannahmen werden erheblich früher erkannt – nämlich zu einem Zeitpunkt, an dem man noch die Gelegenheit hat, Änderungen vorzunehmen. Damit erhöhen sich die Erfolgsaussichten beträchtlich. Für den Praxiseinsatz: Sämtliche Schritte werden in diesem Buch detailliert beschrieben und können anhand der zahlreichen Checklisten nachvollzogen werden. Damit ist das Handbuch ein wertvoller Begleiter und ein umfassendes Nachschlagewerk für Gründerinnen & Gründer. Von deutschen Experten begleitet: Die deutsche Ausgabe des international erfolgreichen Handbuchs entstand mit fachlicher Unterstützung von Prof. Dr. Nils Högsdal und Entrepreneur Daniel Bartel, die auch ein deutsches Vorwort sowie sieben Fallstudien aus dem deutschsprachigen Raum beisteuern.
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College Algebra: Concepts and Contexts

Author: James Stewart,Lothar Redlin,Saleem Watson,Phyllis Panman

Publisher: Cengage Learning

ISBN: 0495387894

Category: Mathematics

Page: 816

View: 7231

This text bridges the gap between traditional and reform approaches to algebra encouraging students to see mathematics in context. It presents fewer topics in greater depth, prioritizing data analysis as a foundation for mathematical modeling, and emphasizing the verbal, numerical, graphical and symbolic representations of mathematical concepts as well as connecting mathematics to real life situations drawn from the students' majors. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Statistics and Experimental Design for Toxicologists, Third Edition

Author: Shayne C. Gad

Publisher: CRC Press

ISBN: 9780849331381

Category: Mathematics

Page: 448

View: 4116

This book serves as a primary text for students of pharmacology, toxicology, and biology, and as a practical handbook to support the daily operations of the toxicology laboratory and researcher. This edition retains the structure of earlier editions, but has been extensively revised to provide both the student and the working toxicologist with the necessary tools for the rigorous and critical design of studies and analysis of experimental data. Assuming only basic mathematical skills as a starting point, Statistics and Experimental Design for Toxicologists provides a thorough and exhaustive introduction to the statistical methods available to and used in the discipline. A worked, practical example from the field is provided for each technique presented. Written from a toxicologist's perspective, this book provides both the methodological tools necessary to analyze experimental toxicology data and the insight to know when to use them.
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