introduction to regression modeling with cd rom duxbury applied

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Introduction To Regression Modeling

Author : Bovas Abraham
ISBN : 0534420753
Genre : Mathematics
File Size : 24. 46 MB
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Looking for an easy-to-understand text to guide you through the tough topic of regression modeling? INTRODUCTION TO REGRESSION MODELING (WITH CD-ROM) offers a blend of theory and regression applications and will give you the practice you need to tackle this subject through exercises, case studies. and projects that have you identify a problem of interest and collect data relevant to the problem's solution. The book goes beyond linear regression by covering nonlinear models, regression models with time series errors, and logistic and Poisson regression models.

Introduction To Applied Econometrics

Author : Kenneth G. Stewart
ISBN : 0534369162
Genre : Business & Economics
File Size : 90. 80 MB
Format : PDF
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You'll find the "econ" back in econometrics with INTRODUCTION TO APPLIED ECONOMETRICS and its accompanying CD.. You'll have the opportunity to replicate classic empirical findings using original data sets and will develop an understanding of the relevance of economic theory to empirical analysis. The author integrates classic empirical examples and applications and builds toward a self-contained four-chapter introduction to time series analysis. The CD includes data sets formatted for STATA, Eviews, Excel, Minitab, SAS and ASCII, as well as an appendix presenting multiple regression in matrix form and another on treating portfolio theory and the capital asset pricing model.

Analyzing Multivariate Data

Author : James M. Lattin
ISBN : 0534349749
Genre : Mathematics
File Size : 36. 71 MB
Format : PDF
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Offering the latest teaching and practice of applied multivariate statistics, this text is perfect for students who need an applied introduction to the subject. Lattin, Carroll, and Green have created a text that speaks to the needs of applied students who have advanced beyond the beginning level, but are not advanced statistics majors. The text provides a three-part structure. First, the authors begin each major topic by developing students' statistical intuition through applications. Then, they providing illustrative examples for support. Finally, for those courses where it will be valuable, they describe relevant mathematical underpinnings with vectors and matrix algebra. Additionally, each chapter follows a standard format. This format begins by discussing a general set of research objectives, followed by illustrative examples of problems in different areas. Then it provides an explanation of how each method works, followed by a sample problem, application of the technique, and interpretation of results.

Applied Regression Analysis And Other Multivariable Methods

Author : David Kleinbaum
ISBN : 9781285051086
Genre : Mathematics
File Size : 64. 71 MB
Format : PDF, ePub
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This bestseller will help you learn regression-analysis methods that you can apply to real-life problems. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that you can solve using the computer. The authors continue to emphasize model development, the intuitive logic and assumptions that underlie the techniques covered, the purposes, advantages, and disadvantages of the techniques, and valid interpretations of those techniques. Available with InfoTrac Student Collections http://gocengage.com/infotrac. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Applied Regression Analysis

Author : Terry E. Dielman
ISBN : 053446548X
Genre : Mathematics
File Size : 75. 54 MB
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APPLIED REGRESSION ANALYSIS applies regression to real data and examples while employing commercial statistical and spreadsheet software. Covering the core regression topics as well as optional topics including ANOVA, Time Series Forecasting, and Discriminant Analysis, the text emphasizes the importance of understanding the assumptions of the regression model, knowing how to validate a selected model for these assumptions, knowing when and how regression might be useful in a business setting, and understanding and interpreting output from statistical packages and spreadsheets.

Applied Nonparametric Statistics

Author : Wayne W. Daniel
ISBN : 0534381944
Genre : Mathematics
File Size : 82. 32 MB
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This book covers the most commonly used nonparametric statistical techniques by emphasizing applications rather than theory. Exercises and examples are drawn from various disciplines including agriculture, biology, sociology, education, psychology, medicine, business, geology, and anthropology. The applications of techniques are presented in a step-by-step format that is repeated for all illustrative examples. Concepts are reinforced with many references to statistical literature to show the relevance to real-world problems. Chapters contain references of available computer programs and software packages that apply to methods presented in the book.

An Introduction To Statistical Methods And Data Analysis

Author : R. Lyman Ott
ISBN : 9781305465527
Genre : Mathematics
File Size : 71. 22 MB
Format : PDF, Docs
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Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Probability Models For Economic Decisions

Author : Roger B. Myerson
ISBN : 0534423817
Genre : Mathematics
File Size : 59. 97 MB
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Learn to use probability in complex realistic situations with PROBABILITY MODELS FOR ECONOMIC DECISIONS. This introduction to the use of probability models for analyzing risks and economic decisions uses Microsoft Excel spreadsheets for the analytic work. As a result of the emphasis on spreadsheet modeling, you'll also develop sophisticated spreadsheet skills.

Introductory Applied Biostatistics

Author : Ralph B. D'Agostino
ISBN : 053442399X
Genre : Mathematics
File Size : 31. 94 MB
Format : PDF, ePub, Mobi
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INTRODUCTORY APPLIED BIOSTATISTICS (WITH CD-ROM) explores statistical applications in the medical and public health fields. Examples drawn directly from the authors' clinical experiences with applied biostatistics make this text both practical and applicable. You'll master application techniques by hand before moving on to computer applications, with SAS programming code and output for each technique covered in every chapter. For each topic, the book addresses methodology, including assumptions, statistical formulas, and appropriate interpretation of results. This book is a must-have for every student preparing for a statistical career in a healthcare field!

Applied Regression Analysis For Business And Economics

Author : Terry E. Dielman
ISBN : 0534265863
Genre : Analyse de régression
File Size : 44. 62 MB
Format : PDF, ePub, Docs
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This book's use of real data in examples and exercises helps students gain practical insights into regression and forecasting concepts. It is intended for the regression analysis course for students of business and economics or as a second course in business statistics found in schools of business or in departments of statistics and economics. (Prerequisites: college algebra and introductory business statistics.) The author includes: -- Use of the computer as the primary method of analysis with a focus on the interpretation of regression output -- Integration of cross-sectional models with time-series models throughout -- A data disk containing relevant data from examples and exercises, formatted for major statistical packages -- Many exercises that require interpretation and build on previously learned concepts -- Instructions for both Minitab RM (Release 10 for Windows RM) and SAS in new Using the Computer sections in each chapter -- An introduction to discriminant analysis and logistic regression in Chapter 9 (Qualitative Dependent Variables) -- A separate chapter covering analysis of variance topics to allow flexibility of coverage -- Data sets with real data from journals and actual business settings

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