Download or read book Statistical Methods for Planners written by Thomas R. Willemain and published by MIT Press (MA). This book was released on 1980-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Methods for Planners written by Thomas R. Willemain and published by MIT Press (MA). This book was released on 1980 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a text for introductory courses on statistics for planners. It is unique in its orientation and concern for the realities of planning practice.The book covers such standard topics as probability, random variables, conditional probability and Bayes' rule, descriptive statistics, commonly used distributions, crosstabulations, Bayesian estimation, significance tests, measures of strength of association, bivariate and multivariate regression, experimental design, and non-parametric statistics. Its original contri bution is its focus on planning applications, with emphasis on Bayesian methods, multi-variate regression, the mathematical model of experimental results, and graphical methods of testing assumptions.Examples and homework problems have been chosen to relate statistical methods to issues of substantive interest to planners, in most cases using real-world data.While the book has been designed as a text for Masters in City Planning courses, portions of it have been used successfully at MIT in both doctoral and undergraduate planning courses. The applications and the range of statistical methods considered will also make this book a valuable resource for methodological classes in public policy analysis, economics, and social welfare. Students should be familiar with algebra, including logs, exponentials, and the graph- ing of functions. Calculus is not used. No prior knowledge of probability and statistics is assumed, although familiarity with histograms would be helpful.
Download or read book Basic Quantitative Research Methods for Urban Planners written by Reid Ewing and published by Routledge. This book was released on 2020-02-24 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: In most planning practice and research, planners work with quantitative data. By summarizing, analyzing, and presenting data, planners create stories and narratives that explain various planning issues. Particularly, in the era of big data and data mining, there is a stronger demand in planning practice and research to increase capacity for data-driven storytelling. Basic Quantitative Research Methods for Urban Planners provides readers with comprehensive knowledge and hands-on techniques for a variety of quantitative research studies, from descriptive statistics to commonly used inferential statistics. It covers statistical methods from chi-square through logistic regression and also quasi-experimental studies. At the same time, the book provides fundamental knowledge about research in general, such as planning data sources and uses, conceptual frameworks, and technical writing. The book presents relatively complex material in the simplest and clearest way possible, and through the use of real world planning examples, makes the theoretical and abstract content of each chapter as tangible as possible. It will be invaluable to students and novice researchers from planning programs, intermediate researchers who want to branch out methodologically, practicing planners who need to conduct basic analyses with planning data, and anyone who consumes the research of others and needs to judge its validity and reliability.
Download or read book Basic Quantitative Research Methods for Urban Planners written by Reid Ewing and published by Routledge. This book was released on 2020-02-24 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: In most planning practice and research, planners work with quantitative data. By summarizing, analyzing, and presenting data, planners create stories and narratives that explain various planning issues. Particularly, in the era of big data and data mining, there is a stronger demand in planning practice and research to increase capacity for data-driven storytelling. Basic Quantitative Research Methods for Urban Planners provides readers with comprehensive knowledge and hands-on techniques for a variety of quantitative research studies, from descriptive statistics to commonly used inferential statistics. It covers statistical methods from chi-square through logistic regression and also quasi-experimental studies. At the same time, the book provides fundamental knowledge about research in general, such as planning data sources and uses, conceptual frameworks, and technical writing. The book presents relatively complex material in the simplest and clearest way possible, and through the use of real world planning examples, makes the theoretical and abstract content of each chapter as tangible as possible. It will be invaluable to students and novice researchers from planning programs, intermediate researchers who want to branch out methodologically, practicing planners who need to conduct basic analyses with planning data, and anyone who consumes the research of others and needs to judge its validity and reliability.
Download or read book Advanced Quantitative Research Methods for Urban Planners written by Reid Ewing and published by Routledge. This book was released on 2020-03-12 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Quantitative Research Methods for Urban Planners provides fundamental knowledge and hands-on techniques about research, such as research topics and key journals in the planning field, advice for technical writing, and advanced quantitative methodologies. This book aims to provide the reader with a comprehensive and detailed understanding of advanced quantitative methods and to provide guidance on technical writing. Complex material is presented in the simplest and clearest way possible using real-world planning examples and making the theoretical content of each chapter as tangible as possible. Hands-on techniques for a variety of quantitative research studies are covered to provide graduate students, university faculty, and professional researchers with useful guidance and references. A companion to Basic Quantitative Research Methods for Urban Planners, Advanced Quantitative Research Methods for Urban Planners is an ideal read for researchers who want to branch out methodologically and for practicing planners who need to conduct advanced analyses with planning data.
Download or read book Statistical Methods for Pharmaceutical Research Planning written by S. W. Bergman and published by CRC Press. This book was released on 2020-10-29 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on statistical methods which impinge more or less directly on the decisions that are made during the course of pharmaceutical and agro-chemical research, considering the four decision-making areas.
Download or read book Community Analysis and Planning Techniques written by Richard E. Klosterman and published by Rowman & Littlefield Publishers. This book was released on 1990-04-17 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces and describes four techniques, which are at the core of professional practice and education: The first technique , curve-fitting/extrapolation, projects an area' s population, employment, or other characteristics by identifying and extending historical trends. The second technique, the cohort-component technique, projects an area' s population by dividing it into a uniform set of population subgroups or cohorts and applying the three components of population change-mortality, fertility, and migration-to each cohort. The third technique, the economic base technique, projects local economic change by dividing a local economy into basic and nonbasic sectors and by focusing analytic attention on the basic sector. The fourth technique, the shift-share technique, projects an area's economic activity by relating it to the activity of the state or nation in which it is located.
Download or read book Computer and Statistical Techniques for Planners written by Richard Stephen Baxter and published by Methuen Publishing. This book was released on 1976 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The computer enviroment: the hardware; The computer environment: the software; Data processing; Statistical techniques.
Download or read book Statistical Methods written by Rudolf J. Freund and published by Elsevier. This book was released on 2003-01-07 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. * Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions * Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software * Examples are worked to a logical conclusion, including interpretation of results * A complete Instructor's Manual is available to adopters
Download or read book Statistical Methods for Six Sigma written by Anand M. Joglekar and published by John Wiley & Sons. This book was released on 2003-09-19 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for achieving consistent and on-target performance. Written by a recognized educator in the field, Statistical Methods for Six Sigma: In R&D and Manufacturing is specifically geared to engineers, scientists, technical managers, and other technical professionals in industry. Emphasizing practical learning, applications, and performance improvement, Dr. Joglekar?s text shows today?s industry professionals how to: Summarize and interpret data to make decisions Determine the amount of data to collect Compare product and process designs Build equations relating inputs and outputs Establish specifications and validate processes Reduce risk and cost-of-process control Quantify and reduce economic loss due to variability Estimate process capability and plan process improvements Identify key causes and their contributions to variability Analyze and improve measurement systems This long-awaited guide for students and professionals in research, development, quality, and manufacturing does not presume any prior knowledge of statistics. It covers a large number of useful statistical methods compactly, in a language and depth necessary to make successful applications. Statistical methods in this book include: variance components analysis, variance transmission analysis, risk-based control charts, capability and performance indices, quality planning, regression analysis, comparative experiments, descriptive statistics, sample size determination, confidence intervals, tolerance intervals, and measurement systems analysis. The book also contains a wealth of case studies and examples, and features a unique test to evaluate the reader?s understanding of the subject.
Download or read book Statistical Techniques for Manpower Planning written by David J. Bartholomew and published by . This book was released on 1991-09-27 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Second Edition continues to provide a sound basis of technical knowledge for the manpower planning professional. Basic theory is sufficiently covered but the aim is to provide tools for practical use. The presentation reflects recent developments in the wider use of microcomputers and includes new material on continuous time methods, the data needs of manpower planning plus new and revised formulae and case studies. Also contains numerous examples, exercises and solutions.
Download or read book Statistical Methods for Spatial Planning and Monitoring written by Silvestro Montrone and published by Springer Science & Business Media. This book was released on 2012-10-23 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book aims to investigate methods and techniques for spatial statistical analysis suitable to model spatial information in support of decision systems. Over the last few years there has been a considerable interest in these tools and in the role they can play in spatial planning and environmental modelling. One of the earliest and most famous definition of spatial planning was “a geographical expression to the economic, social, cultural and ecological policies of society”: borrowing from this point of view, this text shows how an interdisciplinary approach is an effective way to an harmonious integration of national policies with regional and local analysis. A wide range of spatial models and techniques is, also, covered: spatial data mining, point processes analysis, nearest neighbor statistics and cluster detection, Fuzzy Regression model and local indicators of spatial association; all of these tools provide the policy-maker with a valuable support to policy development.
Download or read book Statistical Methods in Healthcare written by Frederick W. Faltin and published by John Wiley & Sons. This book was released on 2012-07-24 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Methods in Healthcare In recent years the number of innovative medicinal products and devices submitted and approved by regulatory bodies has declined dramatically. The medical product development process is no longer able to keep pace with increasing technologies, science and innovations and the goal is to develop new scientific and technical tools and to make product development processes more efficient and effective. Statistical Methods in Healthcare focuses on the application of statistical methodologies to evaluate promising alternatives and to optimize the performance and demonstrate the effectiveness of those that warrant pursuit is critical to success. Statistical methods used in planning, delivering and monitoring health care, as well as selected statistical aspects of the development and/or production of pharmaceuticals and medical devices are also addressed. With a focus on finding solutions to these challenges, this book: Provides a comprehensive, in-depth treatment of statistical methods in healthcare, along with a reference source for practitioners and specialists in health care and drug development. Offers a broad coverage of standards and established methods through leading edge techniques. Uses an integrated case study based approach, with focus on applications. Looks at the use of analytical and monitoring schemes to evaluate therapeutic performance. Features the application of modern quality management systems to clinical practice, and to pharmaceutical development and production processes. Addresses the use of modern statistical methods such as Adaptive Design, Seamless Design, Data Mining, Bayesian networks and Bootstrapping that can be applied to support the challenging new vision. Practitioners in healthcare-related professions, ranging from clinical trials to care delivery to medical device design, as well as statistical researchers in the field, will benefit from this book.
Download or read book Statistical Techniques for Manpower Planning written by David J. Bartholomew and published by . This book was released on 1979 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Textbook on statistical analysis methodologys relating to human resources planning - describes mathematical models based on markov-chain and renewal theories (attrition and labour turnover); discusses forecasting techniques regarding labour demand, and includes the baseqn computer programme for the statistical computing of career patterns. Bibliography pp. 273 to 282, diagrams and graphs.
Download or read book Planning Construction and Statistical Analysis of Comparative Experiments written by Francis G. Giesbrecht and published by John Wiley & Sons. This book was released on 2011-09-26 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable guide to conducting experiments and analyzing dataacross a wide range of applications Experimental design is an important component of the scientificmethod. This book provides guidance on planning efficientinvestigations. It compiles designs for a wide range ofexperimental situations not previously found in accessible form.Focusing on applications in the physical, engineering, biological,and social sciences, Planning, Construction, and StatisticalAnalysis of Comparative Experiments is a valuable guide todesigning experiments and correctly analyzing and interpreting theresults. The authors draw on their years of experience in theclassroom and as statistical consultants to research programs oncampus, in government, and in industry. The object is always tostrike the right balance between mathematical necessities andpractical constraints. Serving both as a textbook for students of intermediatestatistics and a hands-on reference for active researchers, thetext includes: A wide range of applications, including agricultural sciences,animal and biomedical sciences, and industrial engineeringstudies General formulas for estimation and hypothesis testing,presented in a unified and simplified manner Guidelines for evaluating the power and efficiency of designsthat are not perfectly balanced New developments in the design of fractional factorials withnon-prime numbers of levels in mixed-level fractionalfactorials Detailed coverage on the construction of plans and therelationship among categories of designs Thorough coverage of balanced, lattice, cyclic, and alphadesigns Strategies for sequences of fractional factorials Data sets and SAS® code on a companion web site An ideal handbook for the investigator planning a researchprogram, the text comes complete with detailed plans of experimentsand alternative approaches for added flexibility.
Download or read book Statistical Methods for Reliability Data written by William Q. Meeker and published by John Wiley & Sons. This book was released on 2022-01-24 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative guide to the most recent advances in statistical methods for quantifying reliability Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book’s website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook. The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about commercial software for reliability data analysis, and csv files for the 93 data sets used in the book's examples and exercises. The importance of statistical methods in the area of engineering reliability continues to grow and SMRD2 offers an updated guide for, exploring, modeling, and drawing conclusions from reliability data. SMRD2 features: Contains a wealth of information on modern methods and techniques for reliability data analysis Offers discussions on the practical problem-solving power of various Bayesian inference methods Provides examples of Bayesian data analysis performed using the R interface to the Stan system based on Stan models that are available on the book's website Includes helpful technical-problem and data-analysis exercise sets at the end of every chapter Presents illustrative computer graphics that highlight data, results of analyses, and technical concepts Written for engineers and statisticians in industry and academia, Statistical Methods for Reliability Data, Second Edition offers an authoritative guide to this important topic.
Download or read book Statistical Tools for Program Evaluation written by Jean-Michel Josselin and published by Springer. This book was released on 2017-05-23 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a self-contained presentation of the statistical tools required for evaluating public programs, as advocated by many governments, the World Bank, the European Union, and the Organization for Economic Cooperation and Development. After introducing the methodological framework of program evaluation, the first chapters are devoted to the collection, elementary description and multivariate analysis of data as well as the estimation of welfare changes. The book then successively presents the tools of ex-ante methods (financial analysis, budget planning, cost-benefit, cost-effectiveness and multi-criteria evaluation) and ex-post methods (benchmarking, experimental and quasi-experimental evaluation). The step-by-step approach and the systematic use of numerical illustrations equip readers to handle the statistics of program evaluation. It not only offers practitioners from public administrations, consultancy firms and nongovernmental organizations the basic tools and advanced techniques used in program assessment, it is also suitable for executive management training, upper undergraduate and graduate courses, as well as for self-study.
