Die Gro E Regression
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Applied Multiple Regression Correlation Analysis For The Behavioral Sciences
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Author : Jacob Cohen
language : en
Publisher: Routledge
Release Date : 2013-06-17
Applied Multiple Regression Correlation Analysis For The Behavioral Sciences written by Jacob Cohen and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-17 with Psychology categories.
This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 . Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.
The Sage Handbook Of Regression Analysis And Causal Inference
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Author : Henning Best
language : en
Publisher: SAGE
Release Date : 2013-12-20
The Sage Handbook Of Regression Analysis And Causal Inference written by Henning Best and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-20 with Social Science categories.
′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.
Linear Regression Methods For Forest Research
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Author : Frank Freese
language : en
Publisher:
Release Date : 1964
Linear Regression Methods For Forest Research written by Frank Freese and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1964 with Forests and forestry categories.
Quantile Regression
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Author : Marilena Furno
language : en
Publisher: John Wiley & Sons
Release Date : 2018-09-24
Quantile Regression written by Marilena Furno and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-24 with Mathematics categories.
Contains an overview of several technical topics of Quantile Regression Volume two of Quantile Regression offers an important guide for applied researchers that draws on the same example-based approach adopted for the first volume. The text explores topics including robustness, expectiles, m-quantile, decomposition, time series, elemental sets and linear programming. Graphical representations are widely used to visually introduce several issues, and to illustrate each method. All the topics are treated theoretically and using real data examples. Designed as a practical resource, the book is thorough without getting too technical about the statistical background. The authors cover a wide range of QR models useful in several fields. The software commands in R and Stata are available in the appendixes and featured on the accompanying website. The text: Provides an overview of several technical topics such as robustness of quantile regressions, bootstrap and elemental sets, treatment effect estimators Compares quantile regression with alternative estimators like expectiles, M-estimators and M-quantiles Offers a general introduction to linear programming focusing on the simplex method as solving method for the quantile regression problem Considers time-series issues like non-stationarity, spurious regressions, cointegration, conditional heteroskedasticity via quantile regression Offers an analysis that is both theoretically and practical Presents real data examples and graphical representations to explain the technical issues Written for researchers and students in the fields of statistics, economics, econometrics, social and environmental science, this text offers guide to the theory and application of quantile regression models.
Datenanalyse Mit Modellen F R Cluster Linearer Regression
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Author : Christian Hennig
language : de
Publisher: diplom.de
Release Date : 2000-02-19
Datenanalyse Mit Modellen F R Cluster Linearer Regression written by Christian Hennig and has been published by diplom.de this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-02-19 with Mathematics categories.
Inhaltsangabe:Einleitung: In dieser Arbeit geht es um die Analyse von Daten, in denen Cluster linearer Regression erwartet werden können. Ein "Cluster linearer Regression" ist ein Teildatensatz, der sich von den übrigen Daten unterscheidet in Hinsicht auf den Zusammenhang zwischen einer oder mehreren Einflußgrößen und einer abhängigen Variablen. Dieser Zusammenhang wird pro Gruppe als linear vorausgesetzt ("lineare Regression"). Es werden mehrere Verfahren analysiert, um solche Gruppen zu finden. Mit der "Fixpunktcluster-Analyse" wird ein neues Verfahren vorgestellt und mit Hilfe von statistischer Theorie und Simulations-Studien untersucht. Es hat gegenüber den "klassischen" Verfahren den Vorteil, dass Fixpunktcluster unempfindlich gegenüber Veränderungen in "entfernten" Teilen der Daten (z.B. Ausreißer) sind. Das Verfahren lässt sich auch auf andere Probleme der Clusteranalyse übertragen. Inhaltsverzeichnis:Inhaltsverzeichnis: Inhaltsverzeichnis4 English abstract 3 1.Einführung7 1.1Das Problem 7 1.2Modelle für die Clusteranalyse (Teil I) 9 1.3Exkurs: Angemessenheit von Modellen 10 1.4Fixpunktcluster (Teil II und III) 12 1.5Vergleich der Verfahren (Teil IV) 13 1.6Formale und stilistische Bemerkungen 14 1.7Bezeichnungen 15 I.Mischungen linearer Regressionen17 2.Modellierung17 3.Ansätze zur Analyse der Modelle22 3.1Wechselpunktprobleme 22 3.2Kleinste Quadrate 23 3.3Parameterschätzung im Mischmodell 24 3.4Parameterschätzung im Fixed Partition Model 28 3.5Alternative Ansätze 30 3.5.1Robuste Regression 30 3.5.2Schwache Hierarchien 33 4.Einführung: Identifizierbarkeit 34 5.Beispiele für Nicht-Identfizierbarkeit 38 6.Identifizierbarkeitsresultate 43 II.Fixpunktcluster 54 7.Einführung: Fixpunktcluster 54 7.1Cluster und Ausreißer: Die allgemeine Fixpunktcluster-Idee 54 7.2Beispiel: Fixpunktcluster für 0-1-Vektoren 60 7.3Fixpunktcluster und die Selbstorganisation der Wahrnehmung 62 8.Fixpunktcluster im Regressionsfall63 8.1Regressions-Fixpunktclusterindikatoren 63 8.2Regressions-Fixpunktclustervektoren 65 9.Berechnung von KQ-Fixpunktclustervektoren67 10.Analyse von Beispieldatensätzen73 10.1Telefondaten 74 10.2Artifizieller Datensatz 76 III.Fixpunktclusterindikatoren in speziellen Modellen81 11.Hilfsresultate81 11.1Eigenschaften der Fixpunktcluster-Parameterfunktion 81 11.2Abgeschnittene Normalverteilungen 84 12.Fixpunktclusterindikatoren in homogenen Modellen91 13.Fixpunktclusterindikatoren in [...]
Advanced Research In Electronic Devices For Biomedical And Mhealth
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Author : Rajesh Kumar Kesharwani
language : en
Publisher: CRC Press
Release Date : 2024-09-06
Advanced Research In Electronic Devices For Biomedical And Mhealth written by Rajesh Kumar Kesharwani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-06 with Technology & Engineering categories.
This volume addresses the major design challenges and research potential in electronic device applications in healthcare and biomedical systems, exploring the blending of innovative mobile communications, network technologies, and medical sensor and ubiquitous computing devices with medical and biological applications. The authors explore current and future trends in new communication and network technologies for healthcare delivery and new wireless telemedical and mobile health services. The chapters look at the application of machine learning, convolutional neural networks, smartphone-based devices, IoT sensors, and other smart technologies for health diagnosis and monitoring. The volume also looks at integrated circuit design for healthcare applications. The design of energy harvesting systems for a low power biomedical applications is considered, and another unique chapter illustrates the ability of mHealth technologies by using machine learning to predict which blood groups provide resistance against the COVID-19 Delta variant. The main driving forces for the transformation of current healthcare systems are the growing aging population, sharp rising healthcare costs, and frequent occurrences of chronic diseases, resulting in the need to deliver healthcare services in more cost-effective and responsive ways. The traditional hospital-centered healthcare systems, which mainly focus on diagnosis and treatment, are now ready to transform into individual-centered based healthcare system, which, in turn, focuses primarily on early detection, early diagnosis, and long-term monitoring. Electronic devices for biomedical and mHealth are facilitating this transformation in innovative ways. This volume, Advanced Research in Electronic Devices for Biomedical and mHealth, provides a selection of insightful chapters on topics that will be of interest to researchers, faculty, and industry professionals in the fields of biophysics, biomedical engineering, healthcare systems, medical informatics, bioinformatics, and digital electronics devise design.
Regression With Social Data
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Author : Alfred DeMaris
language : en
Publisher: John Wiley & Sons
Release Date : 2004-11-11
Regression With Social Data written by Alfred DeMaris and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-11-11 with Mathematics categories.
An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Covering techniques that span the full spectrum of levels of measurement for both continuous and limited response variables, and using examples taken from such disciplines as sociology, psychology, political science, and public health, the author succeeds in demystifying an academically rigorous subject and making it accessible to a wider audience. Content includes coverage of: Logit, probit, scobit, truncated, and censored regressions Multiple regression with ANOVA and ANCOVA models Binary and multinomial response models Poisson, negative binomial, and other regression models for event-count data Survival analysis using multistate, multiepisode, and interval-censored survival models Concepts are reinforced throughout with numerous chapter problems, exercises, and real data sets. Step-by-step solutions plus an appendix of mathematical tutorials make even complex problems accessible to readers with only moderate math skills. The book’s logical flow, wide applicability, and uniquely comprehensive coverage make it both an ideal text for a variety of graduate course settings and a useful reference for practicing researchers in the field.
Matching Regression Discontinuity Difference In Differences And Beyond
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Author : Myoung-jae Lee
language : en
Publisher: Oxford University Press
Release Date : 2016-05-02
Matching Regression Discontinuity Difference In Differences And Beyond written by Myoung-jae Lee and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-02 with Business & Economics categories.
Myoung-jae Lee reviews the three most popular methods (and their extensions) in applied economics and other social sciences: matching, regression discontinuity, and difference in differences. This book introduces the underlying econometric and statistical ideas, shows what is identified and how the identified parameters are estimated, and illustrates how they are applied with real empirical examples. Lee emphasizes how to implement the three methods with data: data and programs are provided in a useful online appendix. All readers-theoretical econometricians/statisticians, applied economists/social-scientists and researchers/students-will find something useful in the book from different perspectives.
Stochastic Inequalities
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Author : Moshe Shaked
language : en
Publisher: IMS
Release Date : 1992
Stochastic Inequalities written by Moshe Shaked and has been published by IMS this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Mathematics categories.
Principals Of Modern Psychological Measurement
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Author : Frederic M. Lord
language : en
Publisher: Routledge
Release Date : 1983
Principals Of Modern Psychological Measurement written by Frederic M. Lord and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Education categories.
First Published in 1983. Routledge is an imprint of Taylor & Francis, an informa company.