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.
Dieses Standard-Lehrwerk zur Einfuhrung ist eine an der praktischen Forschung ausgerichtete Einfuhrung. Ihr Inhalt und Aufbau orientiert sich an den ersten Schritten, die man in der empirischen Sozialforschung ublicherweise unternimmt, wenn die Datenerhebung abgeschlossen ist: Man bereitet Daten auf, sieht sich die Verteilungseigenschaften einer jeden Variablen an, um dann eine Reihe von Beziehungen zwischen den Variablen zu untersuchen."
This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous presentation of the core of mathematical statistics. Part I of this book constitutes a one-semester course on basic parametric mathematical statistics. Part II deals with the large sample theory of statistics - parametric and nonparametric, and its contents may be covered in one semester as well. Part III provides brief accounts of a number of topics of current interest for practitioners and other disciplines whose work involves statistical methods.
This is a thoroughly revised edition of a classic basic statistics text, ideal for students with a good mathematics background who are starting to learn statistics. This fourth edition includes a chapter on multiple regression, has additional material on acceptance sampling, and places greater emphasis on graphical methods of data analysis. Like earlier editions, it is packed with examples, exercises, and larger projects, including plenty of computing exercises in Minitab.
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: 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: 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.
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.
Author: Wojbor A. Woyczynski
Publisher: Springer Science & Business Media
Release Date: 2010-10-14
This self-contained and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, which are explained in a concise, yet rigorous presentation. With abundant practice exercises and thorough explanations, A First Course in Statistics for Signal Analysis is an excellent tool for both teaching students and training laboratory scientists and engineers. Improvements in the second edition include considerably expanded sections, enhanced precision, and more illustrative figures.
Author: Alain F. Zuur
Publisher: Springer Science & Business Media
Release Date: 2007-05-03
This book provides a practical introduction to analyzing ecological data using real data sets. It features 17 case studies covering topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis.