A Guide to the Use of Statistical Methods in the Physical Sciences
Author: R. J. Barlow
Publisher: John Wiley & Sons
The Manchester Physics Series General Editors: D. J. Sandiford; F.Mandl; A. C. Phillips Department of Physics and Astronomy,University of Manchester Properties of Matter B. H. Flowers and E.Mendoza Optics Second Edition F. G. Smith and J. H. ThomsonStatistical Physics Second Edition F. Mandl Electromagnetism SecondEdition I. S. Grant and W. R. Phillips Statistics R. J. BarlowSolid State Physics Second Edition J. R. Hook and H. E. HallQuantum Mechanics F. Mandl Particle Physics Second Edition B. R.Martin and G. Shaw The Physics of Stars Second Edition A.C.Phillips Computing for Scientists R. J. Barlow and A. R. BarnettWritten by a physicist, Statistics is tailored to the needs ofphysical scientists, containing and explaining all they need toknow. It concentrates on parameter estimation, especially themethods of Least Squares and Maximum Likelihood, but othertechniques, such as hypothesis testing, Bayesian statistics andnon-parametric methods are also included. Intended for reasonablynumerate scientists it contains all the basic formulae, theirderivations and applications, together with some more advancedones. Statistics features: * Comprehensive coverage of the essential techniques physicalscientists are likely to need. * A wealth of examples, and problems with their answers. * Flexible structure and organisation allows it to be used as acourse text and a reference. * A review of the basics, so that little prior knowledge isrequired.
Author: David Noel Burghes
Category: Mathematical statistics
This book is for students studying the applications of statistical techniques to biology, business studies, economics and the humanities. It provides clear and stimulating explanations of the key ideas for each topic; comprehensive exercises to develop and reinforce concepts and techniques; detailed worked examples and activities and discussion points.
What you need to know
Author: Berman Brown, Reva,Saunders, Mark
Publisher: McGraw-Hill Education (UK)
This book is about helping you to choose and use the right statistical technique to analyze your data and write about your results and findings convincingly. It provides a guide to the essential statistical skills needed for success in your assignment, project or dissertation. Berman Brown and Saunders concentrate on particular statistical tests and their three Ws--what, why, and when. They provide you with the tools to choose the graphs and statistics that are suitable for your data, and to understand what the statistical results actually mean. In addition, the book explains why it is impossible to avoid using statistics in analysing data; describes the language of statistics to make it easier to understand the various terms used for statistical techniques; deals with using tables and charts to present data so that they are easy to understand; and explains the statistics used to describe data used to inferdifferences and relationships. The book also includes a handy alphabet of statistics as well as a glossary of key statistical terms. --From publisher's description.
Author: Deborah J. Rumsey
Publisher: John Wiley & Sons
Statistics For Dummies, 2nd Edition (9781119293521) was previously published as Statistics For Dummies, 2nd Edition (9780470911082). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product. The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.
Publisher: Academic Publishers
Author: B L Agarwal
Publisher: New Age International
Basic Statistics Covers A Wide Range Of Statistical Theory Taught In Almost All Faculties. Theory Followed By Relevant Formulae Is Fully Explicated Through Solved Numerical Problems. Mathematical Derivations And Proofs Of The Formulae Are Largely Absent. The Book Presupposes No Advance Knowledge Of Mathematics.Basic Statistics Fully Covers The Syllabi Of Statistics Courses Running In Various Universities In The Faculties Of Commerce, Arts, Master Of Business Management, Agriculture, Home Science, Pharmacy, And For Students Appearing In C.A. (P.E.-I), I.C.W.A. (Inter.), Etc. This Book Provides Exhaustive Matter In A Simple, Lucid And Exact Manner For Inquisitive Minds.Fourth Edition Of Basic Statistics Is Fully Revised And Enlarged. The Addition Of Two Chapters Entitled Research Processes And Experimental Research Designs Has Made The Book Complete In Its Own Sense. Variety Of Large Number Of Theory And Numerical Questions At The End Of Each Chapter Is A Boon To Achieve One S Own Goal. A Reader Will Find The Book Very Useful And Better Than His Expectations.
Author: M. G. Bulmer
Publisher: Courier Corporation
Concise description of classical statistics, from basic dice probabilities to modern regression analysis. Equal stress on theory and applications. Moderate difficulty; only basic calculus required. Includes problems with answers.
Author: D. Das & A. Das
Publisher: Academic Publishers
Author: Sir Robert Giffen
Category: Great Britain
Author: National Research Council (U.S.). Committee on Applied and Theoretical Statistics. Panel on Statistics and Oceanography,William F. Eddy
Publisher: National Academies
Author: Harald Cramér
Publisher: Princeton University Press
In this classic of statistical mathematical theory, Harald Cramér joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cramér's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance.
Author: Keith Knight
Publisher: CRC Press
Traditional texts in mathematical statistics can seem - to some readers-heavily weighted with optimality theory of the various flavors developed in the 1940s and50s, and not particularly relevant to statistical practice. Mathematical Statistics stands apart from these treatments. While mathematically rigorous, its focus is on providing a set of useful tools that allow students to understand the theoretical underpinnings of statistical methodology. The author concentrates on inferential procedures within the framework of parametric models, but - acknowledging that models are often incorrectly specified - he also views estimation from a non-parametric perspective. Overall, Mathematical Statistics places greater emphasis on frequentist methodology than on Bayesian, but claims no particular superiority for that approach. It does emphasize, however, the utility of statistical and mathematical software packages, and includes several sections addressing computational issues. The result reaches beyond "nice" mathematics to provide a balanced, practical text that brings life and relevance to a subject so often perceived as irrelevant and dry.
Author: Dawn Griffiths
Publisher: O'Reilly Germany
"Head First Statistics" brings a typically difficult subject to life, teaching readers everything they want and need to know about statistics through engaging, interactive, and thought-provoking material, full of puzzles, stories, quizzes, visual aids, and real-world examples.
Author: Robert Andrews,Larry A. Standridge
Category: Business & Economics
This book has successfully taught introductory statistics to non-mathematicians who had previously failed two semester of statistics or had completed the courses with no idea of what they had done. It uses a statistical decision model that is easy to understand and apply. Each chapter leads the student through one stats test using Minitab. The book helps the student understand which stat to use and what the results mean to a business person.
A Concise Course in Statistical Inference
Author: Larry Wasserman,Larry Alan Wasserman
Publisher: Springer Science & Business Media
This book surveys a broad range of topics in probability and mathematical statistics. It provides the statistical background that a computer scientist needs to work in the area of machine learning.
Statistische Methoden und Fallbeispiele
Author: Reinhold Hatzinger,Herbert Nagel
Publisher: Pearson Deutschland GmbH
Category: Beispielsammlung - Formschlagwort
Including an Account of Its Natural, Civil, and Ecclesiastical History ; Together with a Particular Description of Each County, Notices of the Manners and Customs of Its Aboriginal Tribes, and a Correct Map of the State
Author: George White
Publisher: Savannah : W.T. William
Author: Sarah Boslaugh
Publisher: "O'Reilly Media, Inc."
A clear and concise introduction and reference for anyone new to the subject of statistics.
Methods and Excel-Based Applications
Author: Trevor Wegner
Publisher: Juta and Company Ltd
Category: Business & Economics
Empowering management students with statistical decision-making skills, this text instructs on how to become active participants where statistical findings are reported. Descriptions are provided of the vast role that statistics play in fields such as marketing, finance, human resources, production, and logistics. Rather than being a passive observer, this guide educates the meaning behind the numbers that allow those in business situations to be informed members of the decision-making process.
Problems and Solutions
Author: E. E. Bassett
Publisher: World Scientific
What is most valuable about this book is the very high quality of the model solutions It is a problem book for those teaching or learning a first course in mathematical statistics This one is outstandingly good and highly recommended.Goeff CohenUniversity of Edinburgh, ScotlandThe authors of this useful book take the view that the ability to solve practical problems is fundamental to an understanding of statistical techniques The book is designed to be read alongside a standard text. I expect it is likely to be most useful to the teacher or to the able student forced to work largely alone.David GreenThis book not only provides a solution to each problem set but gives notes about that solution. These notes should help students to understand the reasoning behind the techniques used, so giving them confidence to deal with problems of a similar nature This book should prove a valuable addition to the library of students and teachers of statistics.M J G AnsellHatfield PolytechnicThe book consists of aseries of examples, each followed by one or more alternative solutions and accompanying notes. The solutions themselves are useful models. The notes go one stage further and explain why particular techniques were chosen to solve each problem. This approach may help to overcome the common difficulty of deciding which method to choose when answering examination questions The book is easy to read and suitable for individual study.Richard J FieldThese notes provide fascinating insights into the process that experienced statisticians go through in order to solve a problem. Students (and maybe some instructors) will benefit greatly from going through the solutions and the notes in thisbook.Gudmund R IversenSwarthmore CollegeThe approach of the authors is to improve a students understanding of statistics, and to help students appreciate which techniques might be appropriate for any problem.Zentralblatt Math., 2001