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Guide To Analysis
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Download or read book Guide to Analysis written by F. Mary Hart and published by Macmillan Educational Corporation. This book was released on 1988 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is part of a major series designed to guide undergraduate students through the first year of their mathematics course. New concepts are introduced gradually with worked examples as illustrations. Exercises with and without solutions are provi
Book Synopsis Guide to Analysing Companies by : The Economist
Download or read book Guide to Analysing Companies written by The Economist and published by The Economist. This book was released on 2015-01-06 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's volatile, complex and fast-moving business world, it can be difficult to gauge how sound a company really is. An apparently strong balance sheet and impressive reported profits may be hiding all sorts of problems that could even spell bankruptcy. So how do you: Know whether a company is well run and doing well? Decide which ratios and benchmarks to use to assess performance? Work out if a company has massaged its results? Recognise the danger signs on the corporate horizon? Compare companies operating in different sectors or countries? These and many other important questions are answered in a completely updated and revised sixth edition of this clear and comprehensive guide. It is aimed at anyone who wants to understand a company's annual report, judge a customer's creditworthiness, assess a company's investment potential, and much more.
Book Synopsis A Guide to Functional Analysis by : Steven G. Krantz
Download or read book A Guide to Functional Analysis written by Steven G. Krantz and published by MAA. This book was released on 2013-06-06 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a quick but precise and careful introduction to the subject of functional analysis. It covers the basic topics that can be found in a basic graduate analysis text. But it also covers more sophisticated topics such as spectral theory, convexity, and fixed-point theorems. A special feature of the book is that it contains a great many examples and even some applications. It concludes with a statement and proof of Lomonosov's dramatic result about invariant subspaces.
Book Synopsis A Practical Guide to Scientific Data Analysis by : David J. Livingstone
Download or read book A Practical Guide to Scientific Data Analysis written by David J. Livingstone and published by John Wiley & Sons. This book was released on 2009-12-10 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific Data Analysis has been written as a statistical companion for the working scientist. This handbook of data analysis with worked examples focuses on the application of mathematical and statistical techniques and the interpretation of their results. Covering the most common statistical methods for examining and exploring relationships in data, the text includes extensive examples from a variety of scientific disciplines. The chapters are organised logically, from planning an experiment, through examining and displaying the data, to constructing quantitative models. Each chapter is intended to stand alone so that casual users can refer to the section that is most appropriate to their problem. Written by a highly qualified and internationally respected author this text: Presents statistics for the non-statistician Explains a variety of methods to extract information from data Describes the application of statistical methods to the design of “performance chemicals” Emphasises the application of statistical techniques and the interpretation of their results Of practical use to chemists, biochemists, pharmacists, biologists and researchers from many other scientific disciplines in both industry and academia.
Book Synopsis The Britannica Guide to Analysis and Calculus by : Erik Gregersen Associate Editor, Astronomy and Space Exploration
Download or read book The Britannica Guide to Analysis and Calculus written by Erik Gregersen Associate Editor, Astronomy and Space Exploration and published by The Rosen Publishing Group, Inc. This book was released on 2010-08-15 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines the history of analysis and calculus, including the geniuses of invention and theory, the practical applications of the math, and explanations of the major topics.
Book Synopsis Financial Statement Analysis by : Martin S. Fridson
Download or read book Financial Statement Analysis written by Martin S. Fridson and published by John Wiley & Sons. This book was released on 2002-10-01 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Financial Statement Analysis A Practitioner's Guide Third Edition "This is an illuminating and insightful tour of financial statements, how they can be used to inform, how they can be used to mislead, and how they can be used to analyze the financial health of a company." -Professor Jay O. Light Harvard Business School "Financial Statement Analysis should be required reading for anyone who puts a dime to work in the securities markets or recommends that others do the same." -Jack L. Rivkin Executive Vice President (retired) Citigroup Investments "Fridson and Alvarez provide a valuable practical guide for understanding, interpreting, and critically assessing financial reports put out by firms. Their discussion of profits-'quality of earnings'-is particularly insightful given the recent spate of reporting problems encountered by firms. I highly recommend their book to anyone interested in getting behind the numbers as a means of predicting future profits and stock prices." -Paul Brown Chair-Department of Accounting Leonard N. Stern School of Business, NYU "Let this book assist in financial awareness and transparency and higher standards of reporting, and accountability to all stakeholders." -Patricia A. Small Treasurer Emeritus, University of California Partner, KCM Investment Advisors "This book is a polished gem covering the analysis of financial statements. It is thorough, skeptical and extremely practical in its review." -Daniel J. Fuss Vice Chairman Loomis, Sayles & Company, LP
Book Synopsis How to Use SPSS® by : Brian C. Cronk
Download or read book How to Use SPSS® written by Brian C. Cronk and published by Routledge. This book was released on 2017-11-10 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to Use SPSS® is designed with the novice computer user in mind and for people who have no previous experience of using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report. The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such as descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction. More than 250 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS® the definitive, field-tested resource for learning SPSS. New to this edition: Fully updated to SPSS 24 and IBM SPSS Statistics Cloud New chapter on ANOVA New material on inter-rater reliability New material on syntax Additional coverage of data entry and management
Book Synopsis Function Analysis Guide by : SAVE International
Download or read book Function Analysis Guide written by SAVE International and published by . This book was released on 2016-05-17 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Function Analysis Guide will give you a greater understanding of Function Analysis to the extent that it becomes second nature to those using the Value Methodology to improve their projects, products, and processes. Application of the techniques covered herein will result in better studies and, most importantly, better results. Lawrence D. Miles, the "Father of Value Analysis," stated "the customer wants a function." People want functions, not things. Function Analysis is considered the heart of the Value Methodology (VM), yet many people have difficulty applying its concepts and techniques to their projects, products, and processes. This document provides guidance on the process and application of function analysis, including Function Analysis System Technique (FAST) for practitioners and those who are preparing to become certified through SAVE International(R).
Book Synopsis A User’s Guide to Network Analysis in R by : Douglas Luke
Download or read book A User’s Guide to Network Analysis in R written by Douglas Luke and published by Springer. This book was released on 2015-12-14 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books in the Use R! series, each chapter contains extensive R code and detailed visualizations of datasets. Appendices will describe the R network packages and the datasets used in the book. An R package developed specifically for the book, available to readers on GitHub, contains relevant code and real-world network datasets as well.
Book Synopsis A Complete Guide to Volume Price Analysis by : Anna Coulling
Download or read book A Complete Guide to Volume Price Analysis written by Anna Coulling and published by Createspace Independent Publishing Platform. This book was released on 2013-09-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here in the UK we have a product called Marmite. It is a deeply divisive food, which you either love or hate. Those who love it, cannot understand how anyone could live without it - and of course, the opposite is true for those who hate it!This same sentiment could be applied to volume as a trading indicator. In other words, you are likely to fall into one of two camps. You either believe it works, or you don't. It really is that simple. There is no halfway house here!I make no bones about the fact that I believe I was lucky in starting my own trading journey using volume. To me it just made sense, and the logic of what it revealed was inescapable. And for me, the most powerful reason is very simple. Volume is a rare commodity in trading - a leading indicator. The second, and only other leading indicator, is price. Everything else is lagged.As traders, investors or speculators, all we are trying to do is to forecast where the market is heading next. Is there any better way than to use the only two leading indicators we have at our disposal, namely volume and price? In isolation each tells us very little. After all, volume is just that, no more no less. A price is a price. However, combine these two forces together, and the result is a powerful analytical approach to forecasting market direction..However, as I say at the start of the book, there is nothing new in trading, and the analysis of volume has been around for over 100 years. After all, this is where the iconic traders started. People like Charles Dow, Jesse Livermore, Richard Wyckoff, and Richard Ney. All they had was the ticker tape, from which they read the price, and the number of shares traded. Volume price analysis, short and simple. The book has been written for traders who have never come across this methodology, and for those who have some knowledge, and perhaps wish to learn a little more. It is not revolutionary, or innovative, but just simple sound common sense, combined with logic.
Book Synopsis Head First Data Analysis by : Michael Milton
Download or read book Head First Data Analysis written by Michael Milton and published by "O'Reilly Media, Inc.". This book was released on 2009-07-24 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for data managers and analyzers. It shares guidelines for identifying patterns, predicting future outcomes, and presenting findings to others.
Book Synopsis Survey Scales by : Robert L. Johnson
Download or read book Survey Scales written by Robert L. Johnson and published by Guilford Publications. This book was released on 2016-07-05 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Synthesizing the literature from the survey and measurement fields, this book explains how to develop closed-response survey scales that will accurately capture such constructs as attitudes, beliefs, or behaviors. It provides guidelines to help applied researchers or graduate students review existing scales for possible adoption or adaptation in a study; create their own conceptual framework for a scale; write checklists, true-false variations, and Likert-style items; design response scales; examine validity and reliability; conduct a factor analysis; and document the instrument development and its technical quality. Advice is given on constructing tables and graphs to report survey scale results. Concepts and procedures are illustrated with "Not This/But This" examples from multiple disciplines. User-Friendly Features *End-of-chapter exercises with sample solutions, plus annotated suggestions for further reading. *"Not This/But This" examples of poorly written and strong survey items. *Chapter-opening overviews and within-chapter summaries. *Glossary of key concepts. *Appendix with examples of parametric and nonparametric procedures for group comparisons.
Download or read book Complex Surveys written by Thomas Lumley and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems. Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work.
Book Synopsis Quasi-Experimentation by : Charles S. Reichardt
Download or read book Quasi-Experimentation written by Charles S. Reichardt and published by Guilford Publications. This book was released on 2019-09-02 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest-posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs. He details their relative strengths and weaknesses and offers practical advice about their use. Reichardt compares quasi-experiments to randomized experiments and discusses when and why the former might be a better choice. Modern moethods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment. Throughout, mathematical equations are translated into words to enhance accessibility.
Book Synopsis The Chicago Guide to Writing about Multivariate Analysis, Second Edition by : Jane E. Miller
Download or read book The Chicago Guide to Writing about Multivariate Analysis, Second Edition written by Jane E. Miller and published by University of Chicago Press. This book was released on 2013-09-26 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. Researchers use these advanced statistical techniques to analyze relationships among multiple variables, such as how exercise and weight relate to the risk of heart disease, or how unemployment and interest rates affect economic growth. Yet, despite the widespread need to plainly and effectively explain the results of multivariate analyses to varied audiences, few are properly taught this critical skill. The Chicago Guide to Writing about Multivariate Analysis is the book researchers turn to when looking for guidance on how to clearly present statistical results and break through the jargon that often clouds writing about applications of statistical analysis. This new edition features even more topics and real-world examples, making it the must-have resource for anyone who needs to communicate complex research results. For this second edition, Jane E. Miller includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models, and the “Goldilocks principle” for choosing the right size contrast for interpreting results for different variables. In addition, she has updated or added numerous examples, while retaining her clear voice and focus on writers thinking critically about their intended audience and objective. Online podcasts, templates, and an updated study guide will help readers apply skills from the book to their own projects and courses. This continues to be the only book that brings together all of the steps involved in communicating findings based on multivariate analysis—finding data, creating variables, estimating statistical models, calculating overall effects, organizing ideas, designing tables and charts, and writing prose—in a single volume. When aligned with Miller’s twelve fundamental principles for quantitative writing, this approach will empower readers—whether students or experienced researchers—to communicate their findings clearly and effectively.
Download or read book Discourse as Data written by Simeon Yates and published by SAGE. This book was released on 2001-05-25 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discourse as Data uses a step-by-step approach to introduce the principal range of methods for discourse analysis, and offers the reader practical opportunities to try out analytic concepts on new data. The contributors come from across the social sciences - each an expert in a different core method in discourse analysis.
Book Synopsis Doing Meta-Analysis with R by : Mathias Harrer
Download or read book Doing Meta-Analysis with R written by Mathias Harrer and published by CRC Press. This book was released on 2021-09-15 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book
