# Search Results for "basic-math-for-social-scientists-problems-and-solutions-quantitative-applications-in-the-social-sciences"

## Basic Math for Social Scientists

*Problems and Solutions*

**Author**: Timothy Hagle**Publisher:**SAGE**ISBN:**9780803972858**Category:**Mathematics**Page:**102**View:**8990

This book of worked-out examples not only accompanies Timothy M. Hagle's earlier book Basic Math for Social Scientists: Concepts, but also provides an informal refresher course in algebra sets, limits and continuity, differential calculus, multivariate functions, partial derivatives, integral calculus, and matrix algebra. Problem sets are also provided so that readers can practice their grasp of standard mathematical procedures.

## Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

**Author**: Scott M. Lynch**Publisher:**Springer Science & Business Media**ISBN:**0387712658**Category:**Social Science**Page:**359**View:**1423

This book outlines Bayesian statistical analysis in great detail, from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data example in painstaking detail.

## Die Messung von Gesundheit

*Grundlegende methodische Fragen und Diskussion verschiedener Meßansätze*

**Author**: Frank Becker**Publisher:**diplom.de**ISBN:**3832433082**Category:**Science**Page:**117**View:**599

Inhaltsangabe:Einleitung: Die Konstrukte Gesundheit und Lebensqualität sind in den letzten Jahren in verschiedenen Ländern (beispielweise in den USA, in Schweden und der BR Deutschland) Gegenstand wachsender Aufmerksamkeit geworden. Dafür lassen sich zwei Hauptgründe nennen: Erstens bedarf es einer Grundlage für die Verteilung finanzieller Mittel innerhalb des Gesundheitswesens, da die Kenntnisse und technologischen Grundlagen für medizinische Maßnahmen erheblich fortgeschritten, gleichzeitig aber die finanziellen Mittel beschränkt sind. Zweitens stellen die Konstrukte Gesundheit und Lebensqualität - die sich nicht nur auf biomedizinische Daten beziehen - eine wichtige Information dar, um Leistungen einer Behandlungsart aus Sicht des Patienten zu bewerten. Diese Verschiebung vom Blickwinkel des Arztes zu dem des Patienten bei der Beurteilung einer Behandlung läßt sich folgendermaßen begründen: Bis Anfang des 20. Jahrhunderts litten Patienten an lebensbedrohlichen Infektionen (AIDS ist heute eine wichtige Ausnahme). Heute sind in entwickelten Ländern chronische Krankheiten, wie Rheumatismus, psychische Leiden, Krebs, Rückenschmerzen und Diabetis das Hauptproblem? Chronische Krankheiten verlangen komplizierte Behandlungsarten. Es ist deshalb wichtig, den Wert einer Behandlungsart und deren Nebenwirkungen zu untersuchen. Beispielsweise hat eine Behandlung gegen Bluthochdruck die Laborwerte des Patienten verbessert. Gleichzeitig hat diese aber die intellektuellen Fähigkeiten und das Aktivitätsniveau des Patienten gesenkt. Der Arzt, der Patient und die angehörigen des Patienten werden deshalb den Erfolg der Behandlung unterschiedlich bewerten. Als Ziele der Messung von Gesundheit und Lebensqualität können folglich genannt werden: - Beschreibung der Gesundheit oder Lebensqualität von Individuen oder Gruppen über biomedizinische Werte hinaus. - Beurteilung von Behandlungsarten aus Sicht der Patienten. - Vergleich von Behandlungsarten. Die Werte der unterschiedlichen Behandlungsarten können als Informationshilfsmittel für deren Auswahl dem Arzt und seinen Patient dienen. Unterstützung der Gesundheitspolitik (Verteilung finanzieller Mittel). In einer Kosten-Nutzen-Analyse sollen Meßinstrumente den Nutzen einer Behandlungsart bewerten. Die Messung der unbeobachtbaren Konstrukte Gesundheit und Lebensqualität erfordert, daß diese in beobachtbare Einheiten definiert werden. In der derzeitigen Gesundheits -und Lebensqualitätsforschung wird betont, daß die [...]

## The Association Graph and the Multigraph for Loglinear Models

**Author**: Harry J. Khamis**Publisher:**SAGE**ISBN:**1452238952**Category:**Mathematics**Page:**136**View:**5475

The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.

## Internet Data Collection

**Author**: Samuel J. Best,Brian S. Krueger**Publisher:**SAGE**ISBN:**9780761927105**Category:**Computers**Page:**91**View:**9598

Designed for researchers and students alike, the volume describes how to perform each stage of the data collection process on the Internet, including sampling, instrument design, and administration. Through the use of non-technical prose and illustrations, it details the options available, describes potential dangers in choosing them, and provides guidelines for sidestepping them. In doing so, though, it does not simply reiterate the practices of traditional communication modes, but approaches the Internet as a unique medium that necessitates its own conventions.

## The R Student Companion

**Author**: Brian Dennis**Publisher:**CRC Press**ISBN:**1439875413**Category:**Mathematics**Page:**360**View:**5596

R is the amazing, free, open-access software package for scientific graphs and calculations used by scientists worldwide. The R Student Companion is a student-oriented manual describing how to use R in high school and college science and mathematics courses. Written for beginners in scientific computation, the book assumes the reader has just some high school algebra and has no computer programming background. The author presents applications drawn from all sciences and social sciences and includes the most often used features of R in an appendix. In addition, each chapter provides a set of computational challenges: exercises in R calculations that are designed to be performed alone or in groups. Several of the chapters explore algebra concepts that are highly useful in scientific applications, such as quadratic equations, systems of linear equations, trigonometric functions, and exponential functions. Each chapter provides an instructional review of the algebra concept, followed by a hands-on guide to performing calculations and graphing in R. R is intuitive, even fun. Fantastic, publication-quality graphs of data, equations, or both can be produced with little effort. By integrating mathematical computation and scientific illustration early in a student’s development, R use can enhance one's understanding of even the most difficult scientific concepts. While R has gained a strong reputation as a package for statistical analysis, The R Student Companion approaches R more completely as a comprehensive tool for scientific computing and graphing.

## Data Theory and Dimensional Analysis

**Author**: William G. Jacoby,William G.. Jacoby**Publisher:**SAGE**ISBN:**9780803941786**Category:**Mathematics**Page:**89**View:**5333

By examining some of the basic scaling questions, such as the importance of measurement levels, the kinds of variables needed for Likert or Guttman scales and when to use multidimensional scaling versus factor analysis, Jacoby introduces readers to the most appropriate scaling strategies for different research situations. He also explores data theory, the study of how real world observations can be transformed into something to be analyzed, in order to facilitate more effective use of scaling techniques.

## Calculus Using Mathematica

**Author**: K.D. Stroyan**Publisher:**Academic Press**ISBN:**1483267970**Category:**Mathematics**Page:**558**View:**7807

Calculus Using Mathematica is intended for college students taking a course in calculus. It teaches the basic skills of differentiation and integration and how to use Mathematica, a scientific software language, to perform very elaborate symbolic and numerical computations. This is a set composed of the core text, science and math projects, and computing software for symbolic manipulation and graphics generation. Topics covered in the core text include an introduction on how to get started with the program, the ideas of independent and dependent variables and parameters in the context of some down-to-earth applications, formulation of the main approximation of differential calculus, and discrete dynamical systems. The fundamental theory of integration, analytical vector geometry, and two dimensional linear dynamical systems are elaborated as well. This publication is intended for beginning college students.

## Whitaker's Books in Print

**Author**: N.A**Publisher:**N.A**ISBN:**N.A**Category:**Bibliography, National**Page:**N.A**View:**8535

## Probability with Applications in Engineering, Science, and Technology

**Author**: Matthew A. Carlton,Jay L. Devore**Publisher:**Springer**ISBN:**3319524011**Category:**Mathematics**Page:**643**View:**574

This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide audience, including mathematics and statistics majors, prospective engineers and scientists, and those business and social science majors interested in the quantitative aspects of their disciplines. The textbook contains enough material for a year-long course, though many instructors will use it for a single term (one semester or one quarter). As such, three course syllabi with expanded course outlines are now available for download on the book’s page on the Springer website. A one-term course would cover material in the core chapters (1-4), supplemented by selections from one or more of the remaining chapters on statistical inference (Ch. 5), Markov chains (Ch. 6), stochastic processes (Ch. 7), and signal processing (Ch. 8 – available exclusively online and specifically designed for electrical and computer engineers, making the book suitable for a one-term class on random signals and noise). For a year-long course, core chapters (1-4) are accessible to those who have taken a year of univariate differential and integral calculus; matrix algebra, multivariate calculus, and engineering mathematics are needed for the latter, more advanced chapters. At the heart of the textbook’s pedagogy are 1,100 applied exercises, ranging from straightforward to reasonably challenging, roughly 700 exercises in the first four “core” chapters alone—a self-contained textbook of problems introducing basic theoretical knowledge necessary for solving problems and illustrating how to solve the problems at hand – in R and MATLAB, including code so that students can create simulations.

## Computer Simulation Analysis of Biological and Agricultural Systems

**Author**: Barney K. Huang**Publisher:**CRC Press**ISBN:**9780849348693**Category:**Technology & Engineering**Page:**880**View:**7060

Computer Simulation Analysis of Biological and Agricultural Systems focuses on the integration of mathematical models and the dynamic simulation essential to system analysis, design, and synthesis. The book emphasizes the quantitative dynamic relationships between elements and system responses. Problems of various degrees of difficulty and complexity are discussed to illustrate methods of computer-aided design and analysis that can bridge the gap between theories and applications. These problems cover a wide variety of subjects in the biological and agricultural fields. Specific guidelines and practical methods for defining requirements, developing specifications, and integrating system modeling early in simulation development are included as well. Computer Simulation Analysis of Biological and Agricultural Systems is an excellent text and self-guide for agricultural engineers, agronomists, foresters, horticulturists, soil scientists, mechanical engineers, and computer simulators.

## Probability and Statistics by Example: Volume 1, Basic Probability and Statistics

**Author**: Yuri Suhov,Michael Kelbert,Mark Kelbert**Publisher:**Cambridge University Press**ISBN:**9780521847667**Category:**Mathematics**Page:**372**View:**1318

This subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well as traditional ones such as insurance, social science and engineering. The authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises for which they have supplied complete solutions. These solutions are adapted to needs and skills of students. Experience shows that users of this book will find the subject more interesting and they will be better equipped to solve problems in practice and under examination conditions.

## Inequalities for Finite Difference Equations

**Author**: B.G. Pachpatte**Publisher:**CRC Press**ISBN:**9780824706579**Category:**Mathematics**Page:**528**View:**2469

"A treatise on finite difference ineuqalities that have important applications to theories of various classes of finite difference and sum-difference equations, including several linear and nonlinear finite difference inequalities appearing for the first time in book form."

## Probability and Combinatorics

**Author**: D.P. Apte**Publisher:**Excel Books India**ISBN:**9788174465207**Category:**Combinatorial analysis**Page:**463**View:**1584

This book covers a selection of topics on combinatorics, probability and discrete mathematics useful to the students of MCA, MBA, computer science and applied mathematics. The book uses a different approach in explaining these subjects, so as to be equally suitable for the students with different backgrounds from commerce to computer engineering. This book not only explains the concepts and provides variety of solved problems, but also helps students to develop insight and perception, to formulate and solve mathematical problems in a creative way. The book includes topics in combinatorics like advance principles of counting, combinatorial identities, concept of probability, random variables and their probability distributions, discrete and continuous standard distributions and jointly random variables, recurrence relations and generating functions. This book completely covers MCA syllabus of Pune University and will also be suitable for undergraduate science courses like B.Sc. as well as management courses.

## Maths for Social Sciences

**Author**: Lorenzo Peccati,Mauro D'Amico,Margherita Cigola**Publisher:**Springer**ISBN:**3030023362**Category:**Mathematics**Page:**347**View:**3103

This book is aimed at students in social sciences programs that include some course in quantitative methods. Stats for social sciences is frequently the subject of textbooks, while maths for social sciences is often neglected: monographs on specific themes (like, for instance, social choice systems or game theory applications) are available, but they do not adequately cover the topic in general. This textbook stems from the Bocconi University’s new "Bachelor in Government", which was launched in 2015, and is intended for undergraduate students who do not exclude maths from their toolbox. It discusses various concrete applications in political economics, political science, sociology, and demography and explores topics like Grexit, Macron’s success, immigration effects and the Arab Spring.

## Research Methodology

*Methods and Techniques*

**Author**: C. R. Kothari**Publisher:**New Age International**ISBN:**8122415229**Category:**Analysis of covariance**Page:**401**View:**7826

About the Book: This second edition has been thoroughly revised and updated and efforts have been made to enhance the usefulness of the book. In this edition a new chapter The Computer: Its Role in Research have been added keeping in view of the fact tha

## Integrative Systems Approaches to Natural and Social Dynamics

*Systems Sciences 2000*

**Author**: Peter Murray Allen,M. Matthies,H. Malchow,J. Kriz**Publisher:**Springer Science & Business Media**ISBN:**9783540412922**Category:**Business & Economics**Page:**593**View:**3326

With contributions by numerous experts

## Linear Programming

*An Introduction*

**Author**: B. Feiring**Publisher:**SAGE**ISBN:**9780803928503**Category:**Mathematics**Page:**90**View:**3623

Feiring provides a well-written introduction to the techniques and applications of linear programming. He shows readers how to model, solve, and interpret appropriate linear programming problems. His carefully-chosen examples provide a foundation for mathematical modelling and demonstrate the wide scope of the techniques.

## Introduction to Factor Analysis

*What It Is and How To Do It*

**Author**: Albert R. Wildt,Jae-On Kim,Charles W. Mueller,Olli Ahtola,Paul E. Spector**Publisher:**SAGE**ISBN:**9780803911659**Category:**Mathematics**Page:**79**View:**8892

Describes the mathematical and logical foundations at a level that does not presume advanced mathematical or statistical skills. It illustrates how to do factor analysis with several of the more popular packaged computer programs.

## Mathematical Models for Society and Biology

**Author**: Edward Beltrami**Publisher:**Academic Press**ISBN:**0124046932**Category:**Social Science**Page:**288**View:**2776

Mathematical Models for Society and Biology, 2e, is a useful resource for researchers, graduate students, and post-docs in the applied mathematics and life science fields. Mathematical modeling is one of the major subfields of mathematical biology. A mathematical model may be used to help explain a system, to study the effects of different components, and to make predictions about behavior. Mathematical Models for Society and Biology, 2e, draws on current issues to engagingly relate how to use mathematics to gain insight into problems in biology and contemporary society. For this new edition, author Edward Beltrami uses mathematical models that are simple, transparent, and verifiable. Also new to this edition is an introduction to mathematical notions that every quantitative scientist in the biological and social sciences should know. Additionally, each chapter now includes a detailed discussion on how to formulate a reasonable model to gain insight into the specific question that has been introduced. Offers 40% more content – 5 new chapters in addition to revisions to existing chapters Accessible for quick self study as well as a resource for courses in molecular biology, biochemistry, embryology and cell biology, medicine, ecology and evolution, bio-mathematics, and applied math in general Features expanded appendices with an extensive list of references, solutions to selected exercises in the book, and further discussion of various mathematical methods introduced in the book