Expanded and revised to include new computing exercises using actual data along with tips, solutions and a set of updated questions. Computer use is encouraged to facilitate analysis of data sets too large to be done by hand; to assist in the drawing of diagrams, histograms and scatter plots; to simulate probability models in order to illustrate probability and statistical theory. Explains how to tackle computing exercises using the statistical package MINITAB.
Author: Jorn Olsen
Publisher: OUP Oxford
Release Date: 2010-04-15
Teaching Epidemiology requires skill and knowledge, combined with a clear teaching strategy and good pedagogic skills. The general advice is simple: if you are not an expert on a topic, try to enrich your background knowledge before you start teaching. Teaching Epidemiology third edition helps you to do this, and by providing the world-expert teacher's advice on how best to structure teaching gives a unique insight in to what has worked in their hands. The book will help you plan your own tailored teaching programme. The book is a guide to new teachers in the field at two levels; those teaching basic courses for undergraduates, and those teaching more advanced courses for students at postgraduate level. Each chapter provides key concepts and a list of key references. Subject specific methodology and disease specific issues (from cancer to genetic epidemiology) are dealt with in details. There is also a focused chapter on the principles and practice of computer-assisted learning.
Author: B L Agarwal
Publisher: New Age International
Release Date: 2006
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.
Basic & Business Course in Statistics II or simply BBC STAT II includes theoretical and applied topics in statistics that are of interest to students in all educational fields, such as business, economics, finance, and management. This book provides students with an excellent feedback to choose the convenient hypothesis test and estimation for population parameters and population variances. It also provides them with essential techniques to use correlation and linear regression analysis. This book includes significant places where technology is used, especially the use of Excel and PHStat 2 software. This book is designed for junior or senior students. Our guiding philosophy led us to build on this foundation in such a way that pupils acquire fundamental skills in higher business and higher statistics so that they are ready to make a decision with a least risk.
Basic Business Course in Statistics or simply BBCS includes theoretical and applied topics in statistics that are of interest to students in all educational fields, such as business, economics, finance, management and even IT. The first part of this book provides students with good knowledge about descriptive statistics, measures of dispersion, basic rules of probabilities, special probability distribution such as binomial distribution, hypergeometric distribution, multinomial distribution, Poisson distribution, normal distribution, uniform distribution, and exponential distribution. The second part of this book provides students with an excellent feedback to choose the convenient hypothesis test and estimation for population parameters and population variances. It also provides them with essential techniques to use correlation and linear regression analysis. In both parts there exist significant places where technology has been used, especially the use of Excel and PHStat software. The first part of this book is designed for Sophomore students while the second part is designed for Junior students. Our guiding philosophy led us to build on this foundation in such a way that pupils acquire fundamental skills in higher business and higher statistics so that they are ready to make a decision with a least risk.
Author: Rebecca M. Warner
Release Date: 2012-04-10
Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.
Author: Antonio Navarra
Publisher: Springer Science & Business Media
Release Date: 2010-04-05
Climatology and meteorology have basically been a descriptive science until it became possible to use numerical models, but it is crucial to the success of the strategy that the model must be a good representation of the real climate system of the Earth. Models are required to reproduce not only the mean properties of climate, but also its variability and the strong spatial relations between climate variability in geographically diverse regions. Quantitative techniques were developed to explore the climate variability and its relations between different geographical locations. Methods were borrowed from descriptive statistics, where they were developed to analyze variance of related observations-variable pairs, or to identify unknown relations between variables. A Guide to Empirical Orthogonal Functions for Climate Data Analysis uses a different approach, trying to introduce the reader to a practical application of the methods, including data sets from climate simulations and MATLAB codes for the algorithms. All pictures and examples used in the book may be reproduced by using the data sets and the routines available in the book . Though the main thrust of the book is for climatological examples, the treatment is sufficiently general that the discussion is also useful for students and practitioners in other fields. Supplementary datasets are available via http://extra.springer.com
Author: Brenda Meery
Publisher: CK-12 Foundation
Release Date: 2012-05-08
CK-12 Foundation's Basic Probability and Statistics A Short Course is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.
Der Grundkurs Theoretische Physik deckt in 7 Bänden alle für das Diplom und für Bachelor/Master-Studiengänge maßgeblichen Gebiete ab. Jeder Band vermittelt das im jeweiligen Semester notwendige theoretisch-physikalische Rüstzeug. Übungsaufgaben mit ausführlichen Lösungen dienen der Vertiefung des Stoffs. Der 4. Band behandelt die Gebiete Thermodynamik und Relativitätstheorie. Für die Neuauflage wurde er grundlegend überarbeitet und um 24 Aufgaben ergänzt. Durch die zweifarbige Gestaltung ist der Stoff jetzt noch übersichtlicher gegliedert.
Author: Deborah J. Rumsey
Publisher: John Wiley & Sons
Release Date: 2016-12-16
Von A wie Ausreißer bis Z wie Z-Verteilung Entdecken Sie mit Statistik für Dummies Ihren Spaß an der Statistik und werfen Sie einen Blick hinter die Kulissen dieser komplizierten, aber hilfreichen Wissenschaft! Deborah Rumsey zeigt Ihnen das nötige statistische Handwerkszeug wie Stichprobe, Wahrscheinlichkeit, Bias, Median, Durchschnitt und Korrelation. Sie lernen die verschiedenen grafischen Darstellungsmöglichkeiten von statistischem Material kennen und werden über die unterschiedlichen Methoden der Auswertung erstaunt sein. Schärfen Sie mit diesem Buch Ihr Bewusstsein für Zahlen und deren Interpretation, sodass Ihnen keiner mehr etwas vormachen kann!
Author: Rabi Bhattacharya
Publisher: Springer Science & Business Media
Release Date: 2007-07-08
Introductory Probability is a pleasure to read and provides a fine answer to the question: How do you construct Brownian motion from scratch, given that you are a competent analyst? There are at least two ways to develop probability theory. The more familiar path is to treat it as its own discipline, and work from intuitive examples such as coin flips and conundrums such as the Monty Hall problem. An alternative is to first develop measure theory and analysis, and then add interpretation. Bhattacharya and Waymire take the second path.
Author: Stanley L. Sclove
Publisher: CRC Press
Release Date: 2012-12-06
Genre: Business & Economics
Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. The book begins with a review of basic statistics, including descriptive statistics, kinds of variables, and types of data sets. It then discusses regression analysis in general terms and in terms of financial investment models, such as the capital asset pricing model and the Fama/French model. It also describes mean-variance portfolio analysis and concludes with a focus on time series analysis. Providing the connection between elementary statistics courses and quantitative finance courses, this text helps both existing and future quants improve their data analysis skills and better understand the modeling process.
Author: Barry C. Arnold
Release Date: 1992
Genre: Order statistics
Written in a simple style that requires no advanced mathematical or statistical background, A First Course in Order Statistics introduces the general theory of order statistics and their applications. The book covers topics such as distribution theory for order statistics from continuous and discrete populations, moment relations, bounds and approximations, order statistics in statistical inference and characterization results, and basic asymptotic theory. There is also a short introduction to record values and related statistics. The authors have updated the text with suggestions for further reading that readers may use for self-study. Audience: advanced undergraduate and graduate students in statistics and mathematics, practicing statisticians, engineers, climatologists, economists, and biologists.