New Methods For The Analysis Of Change
Download New Methods For The Analysis Of Change full books in PDF, epub, and Kindle. Read online free New Methods For The Analysis Of Change ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Linda M. Collins |
| Publisher | : |
| Total Pages | : 442 |
| Release | : 2009 |
| Genre | : |
| ISBN | : |
This volume presents state-of-the-art methods explored by recognized authorities on the analysis of change. Chapters highlight methods for estimating and evaluating models of growth and change over time at the level of the individual; address issues of measurement that are important in the analysis of change; point out methods for separating intra-individual growth from some aspects of phenomena that are stable over time; identify larger frameworks to integrate knowledge; and provide methods for dealing with missing data. This volume of methodological advances will influence a variety of disciplines from psychology and sociology to education and economics. (PsycINFO Database Record (c) 2004 APA, all rights reserved).
| Author | : John Mordechai Gottman |
| Publisher | : Psychology Press |
| Total Pages | : 544 |
| Release | : 1995 |
| Genre | : Literary Criticism |
| ISBN | : 0805813578 |
Continuity and change have been major concerns of the social and behavioral sciences -- in the study of human development and in the study of processes that unfold in various ways across time. There has been a veritable explosion of techniques for studying change over time which have fundamentally changed how we need to think of and study change. Unfortunately, many of the old precepts and beliefs are still among us. The field of methodology for the study of change is itself ready to change. Recently, there have been many analytic and conceptual developments questioning our cherished beliefs about the study of change. As such, how are individuals to think about issues and correctly analyze change? The chapters in this volume address these issues. Divided into two sections, this book deals with designs that analyze change in multiple subjects, and with change in single subjects and an interacting system. Papers presented in this volume are accessible to scientists who are not methodologists. The character of the papers are more like primers than basic treatises on methodology, written for other methodologists. It is time that people stop thinking in rigid ways about how to study change and be introduced to a range of many possibilities. Change, stability, order and chaos are elusive concepts. The pursuit of the laws of change must be approached in as flexible and creative a fashion as possible. This book should help to lead the way.
| Author | : Linda M. Collins |
| Publisher | : Amer Psychological Assn |
| Total Pages | : 442 |
| Release | : 2001-01-01 |
| Genre | : Medical |
| ISBN | : 9781557987549 |
Annotation Psychologists update the Association's 1991 with 12 studies, many from a conference held at Pennsylvania State University in 1998, and some with comments attached. The topics include differential structural equation modeling of intra-individual variability, combining auto-regressive and latent curve models, and planned missing-data designs for analyzing change. Annotation c. Book News, Inc., Portland, OR (booknews.com).
| Author | : John Mordechai Gottman |
| Publisher | : Psychology Press |
| Total Pages | : 543 |
| Release | : 2013-02-01 |
| Genre | : Psychology |
| ISBN | : 1134777981 |
Continuity and change have been major concerns of the social and behavioral sciences -- in the study of human development and in the study of processes that unfold in various ways across time. There has been a veritable explosion of techniques for studying change over time which have fundamentally changed how we need to think of and study change. Unfortunately, many of the old precepts and beliefs are still among us. The field of methodology for the study of change is itself ready to change. Recently, there have been many analytic and conceptual developments questioning our cherished beliefs about the study of change. As such, how are individuals to think about issues and correctly analyze change? The chapters in this volume address these issues. Divided into two sections, this book deals with designs that analyze change in multiple subjects, and with change in single subjects and an interacting system. Papers presented in this volume are accessible to scientists who are not methodologists. The character of the papers are more like primers than basic treatises on methodology, written for other methodologists. It is time that people stop thinking in rigid ways about how to study change and be introduced to a range of many possibilities. Change, stability, order and chaos are elusive concepts. The pursuit of the laws of change must be approached in as flexible and creative a fashion as possible. This book should help to lead the way.
| Author | : Abdourrahmane M. Atto |
| Publisher | : John Wiley & Sons |
| Total Pages | : 306 |
| Release | : 2022-01-06 |
| Genre | : Computers |
| ISBN | : 178945056X |
Change Detection and Image Time Series Analysis 1 presents a wide range of unsupervised methods for temporal evolution analysis through the use of image time series associated with optical and/or synthetic aperture radar acquisition modalities. Chapter 1 introduces two unsupervised approaches to multiple-change detection in bi-temporal multivariate images, with Chapters 2 and 3 addressing change detection in image time series in the context of the statistical analysis of covariance matrices. Chapter 4 focuses on wavelets and convolutional-neural filters for feature extraction and entropy-based anomaly detection, and Chapter 5 deals with a number of metrics such as cross correlation ratios and the Hausdorff distance for variational analysis of the state of snow. Chapter 6 presents a fractional dynamic stochastic field model for spatio temporal forecasting and for monitoring fast-moving meteorological events such as cyclones. Chapter 7 proposes an analysis based on characteristic points for texture modeling, in the context of graph theory, and Chapter 8 focuses on detecting new land cover types by classification-based change detection or feature/pixel based change detection. Chapter 9 focuses on the modeling of classes in the difference image and derives a multiclass model for this difference image in the context of change vector analysis.
| Author | : Angela Dale |
| Publisher | : SAGE |
| Total Pages | : 242 |
| Release | : 1994-07-05 |
| Genre | : Social Science |
| ISBN | : 1446275639 |
Understanding change over time is a central concern for research in sociology, political science, education, geography and related disciplines. It is also an issue which presents significant methodological problems, in response to which different techniques have been developed - for example, time series analysis, multilevel models, log-linear models and event history analysis. Outlining the nature of such techniques, this accessible collection covers: the respective values of cross-sectional and longitudinal data in the analysis of change; the variety of methods available for the analysis of change over time; the types of research objective to which various techniques are suited; the limitations and constraints of individual methods; and the different philosophies which underlie particular approaches.
| Author | : Jie Chen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 190 |
| Release | : 2013-11-11 |
| Genre | : Mathematics |
| ISBN | : 1475731310 |
Recently there has been a keen interest in the statistical analysis of change point detec tion and estimation. Mainly, it is because change point problems can be encountered in many disciplines such as economics, finance, medicine, psychology, geology, litera ture, etc. , and even in our daily lives. From the statistical point of view, a change point is a place or time point such that the observations follow one distribution up to that point and follow another distribution after that point. Multiple change points problem can also be defined similarly. So the change point(s) problem is two fold: one is to de cide if there is any change (often viewed as a hypothesis testing problem), another is to locate the change point when there is a change present (often viewed as an estimation problem). The earliest change point study can be traced back to the 1950s. During the fol lowing period of some forty years, numerous articles have been published in various journals and proceedings. Many of them cover the topic of single change point in the means of a sequence of independently normally distributed random variables. Another popularly covered topic is a change point in regression models such as linear regres sion and autoregression. The methods used are mainly likelihood ratio, nonparametric, and Bayesian. Few authors also considered the change point problem in other model settings such as the gamma and exponential.
| Author | : Irene L. Hudson |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 525 |
| Release | : 2009-11-24 |
| Genre | : Science |
| ISBN | : 9048133351 |
As climate change continues to dominate the international environmental agenda, phenology – the study of the timing of recurring biological events – has received increasing research attention, leading to an emerging consensus that phenology can be viewed as an ‘early warning system’ for climate change impact. A multidisciplinary science involving many branches of ecology, geography and remote sensing, phenology to date has lacked a coherent methodological text. This new synthesis, including contributions from many of the world’s leading phenologists, therefore fills a critical gap in the current biological literature. Providing critiques of current methods, as well as detailing novel and emerging methodologies, the book, with its extensive suite of references, provides readers with an understanding of both the theoretical basis and the potential applications required to adopt and adapt new analytical and design methods. An invaluable source book for researchers and students in ecology and climate change science, the book also provides a useful reference for practitioners in a range of sectors, including human health, fisheries, forestry, agriculture and natural resource management.
| Author | : Murat İlsever |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 77 |
| Release | : 2012-06-22 |
| Genre | : Computers |
| ISBN | : 1447142551 |
Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work investigates two-dimensional change detection methods. The existing methods in the literature are grouped into four categories: pixel-based, transformation-based, texture analysis-based, and structure-based. In addition to testing existing methods, four new change detection methods are introduced: fuzzy logic-based, shadow detection-based, local feature-based, and bipartite graph matching-based. The latter two methods form the basis for a structural analysis of change detection. Three thresholding algorithms are compared, and their effects on the performance of change detection methods are measured. These tests on existing and novel change detection methods make use of a total of 35 panchromatic and multi-spectral Ikonos image sets. Quantitative test results and their interpretations are provided.
| Author | : Boris Brodsky |
| Publisher | : CRC Press |
| Total Pages | : 286 |
| Release | : 2016-12-12 |
| Genre | : Mathematics |
| ISBN | : 1315350955 |
This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally described by nonstationary stochastic models, which comprise both static and dynamic regimes, linear and nonlinear dynamics, and constant and time-variant structures of such systems. It covers both retrospective and sequential problems, particularly theoretical methods of optimal detection. Such methods are constructed and their characteristics are analyzed both theoretically and experimentally. Suitable for researchers working in change-point analysis and stochastic modelling, the book includes theoretical details combined with computer simulations and practical applications. Its rigorous approach will be appreciated by those looking to delve into the details of the methods, as well as those looking to apply them.
