Inference for Change Point and Post Change Means After a CUSUM Test

Author: Yanhong Wu
Publisher: Springer Science & Business Media
ISBN: 9780387262697
Format: PDF, Kindle
Download and Read
The main emphasis is on the inference problem for the change point and post-change parameters after a change has been detected. More specifically, due to the convenient form and statistical properties, the author concentrates on the CUSUM procedure. The goal is to provide some quantitative evaluations on the statistical properties of estimators on the change point and post-change parameters.

Benchmarking Temporal Distribution and Reconciliation Methods for Time Series

Author: Estela Bee Dagum
Publisher: Springer Science & Business Media
ISBN: 0387354395
Format: PDF
Download and Read
Time series play a crucial role in modern economies at all levels of activity and are used by decision makers to plan for a better future. Before publication time series are subject to statistical adjustments and this is the first statistical book to systematically deal with the methods most often applied for such adjustments. Regression-based models are emphasized because of their clarity, ease of application, and superior results. Each topic is illustrated with real case examples. In order to facilitate understanding of their properties and limitations of the methods discussed a real data example is followed throughout the book.

Cumulative Sum Charts and Charting for Quality Improvement

Author: Douglas M. Hawkins
Publisher: Springer Science & Business Media
ISBN: 9780387983653
Format: PDF, Kindle
Download and Read
Covering CUSUMs from an application-oriented viewpoint, while also providing the essential theoretical underpinning, this is an accessible guide for anyone with a basic statistical training. The text is aimed at quality practitioners, teachers and students of quality methodologies, and people interested in analysis of time-ordered data. Further support is available from a Web site containing CUSUM software and data sets.

Climate Time Series Analysis

Author: Manfred Mudelsee
Publisher: Springer Science & Business Media
ISBN: 9789048194827
Format: PDF, ePub, Docs
Download and Read
Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. This makes the book self-contained for graduate students and researchers.

Sequential Analysis

Author: Alexander Tartakovsky
Publisher: CRC Press
ISBN: 1439838216
Format: PDF, Docs
Download and Read
Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used efficiently. The book reviews recent accomplishments in hypothesis testing and changepoint detection both in decision-theoretic (Bayesian) and non-decision-theoretic (non-Bayesian) contexts. The authors not only emphasize traditional binary hypotheses but also substantially more difficult multiple decision problems. They address scenarios with simple hypotheses and more realistic cases of two and finitely many composite hypotheses. The book primarily focuses on practical discrete-time models, with certain continuous-time models also examined when general results can be obtained very similarly in both cases. It treats both conventional i.i.d. and general non-i.i.d. stochastic models in detail, including Markov, hidden Markov, state-space, regression, and autoregression models. Rigorous proofs are given for the most important results. Written by leading authorities in the field, this book covers the theoretical developments and applications of sequential hypothesis testing and sequential quickest changepoint detection in a wide range of engineering and environmental domains. It explains how the theoretical aspects influence the hypothesis testing and changepoint detection problems as well as the design of algorithms.

Applied Statistics and Probability for Engineers Student Solutions Manual

Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 047088844X
Format: PDF
Download and Read
Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.

Econometric Analysis

Author: William H. Greene
Publisher: Pearson
ISBN: 0134811933
Format: PDF, Mobi
Download and Read
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For first-¿year graduate courses in Econometrics for Social Scientists. Bridging the gap between social science studies and econometric analysis Designed to bridge the gap between social science studies and field-econometrics, Econometric Analysis, 8th Edition presents this ever-growing area at an accessible level. The book first introduces readers to basic techniques, a rich variety of models, and underlying theory that is easy to put into practice. It then presents readers with a sufficient theoretical background to understand advanced techniques and to recognize new variants of established models. This focus, along with hundreds of worked numerical examples, ensures that readers can apply the theory to real-world application and are prepared to be successful economists in the field.