Advances In Statistical Methodologies And Their Application To Real Problems PDF Download
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| Author | : Tsukasa Hokimoto |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 327 |
| Release | : 2017-04-26 |
| Genre | : Mathematics |
| ISBN | : 953513101X |
Download Advances in Statistical Methodologies and Their Application to Real Problems Book in PDF, ePub and Kindle
In recent years, statistical techniques and methods for data analysis have advanced significantly in a wide range of research areas. These developments enable researchers to analyze increasingly large datasets with more flexibility and also more accurately estimate and evaluate the phenomena they study. We recognize the value of recent advances in data analysis techniques in many different research fields. However, we also note that awareness of these different statistical and probabilistic approaches may vary, owing to differences in the datasets typical of different research fields. This book provides a cross-disciplinary forum for exploring the variety of new data analysis techniques emerging from different fields.
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 19?? |
| Genre | : |
| ISBN | : 9789535131021 |
Download Advances in Statistical Methodologies and Their Application to Real Problems Book in PDF, ePub and Kindle
| Author | : Josef Honerkamp |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 557 |
| Release | : 2012-06-19 |
| Genre | : Science |
| ISBN | : 3642286844 |
Download Statistical Physics Book in PDF, ePub and Kindle
The application of statistical methods to physics is essential. This unique book on statistical physics offers an advanced approach with numerous applications to the modern problems students are confronted with. Therefore the text contains more concepts and methods in statistics than the student would need for statistical mechanics alone. Methods from mathematical statistics and stochastics for the analysis of data are discussed as well. The book is divided into two parts, focusing first on the modeling of statistical systems and then on the analysis of these systems. Problems with hints for solution help the students to deepen their knowledge. The third edition has been updated and enlarged with new sections deepening the knowledge about data analysis. Moreover, a customized set of problems with solutions is accessible on the Web at extras.springer.com.
| Author | : Rand R. Wilcox |
| Publisher | : Gulf Professional Publishing |
| Total Pages | : 688 |
| Release | : 2003-01-06 |
| Genre | : Mathematics |
| ISBN | : 9780127515410 |
Download Applying Contemporary Statistical Techniques Book in PDF, ePub and Kindle
Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable, practical, and easily accessible. Highlights: * Assumes no previous training in statistics * Explains when and why modern methods provide more accurate results * Provides simple descriptions of when and why conventional methods can be highly unsatisfactory * Covers the latest developments on multiple comparisons * Includes recent advances in risk-based methods * Features many illustrations and examples using data from real studies * Describes and illustrates easy-to-use s-plus functions for applying cutting-edge techniques "The book is quite unique in that it offers a lot of up-to-date statistical tools. No other book at this level comes close in this aspect." Xuming He -University of Illinois, Urbana
| Author | : Eugene Demidenko |
| Publisher | : John Wiley & Sons |
| Total Pages | : 880 |
| Release | : 2019-11-12 |
| Genre | : Mathematics |
| ISBN | : 1118387988 |
Download Advanced Statistics with Applications in R Book in PDF, ePub and Kindle
Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are caused by misunderstanding of statistical concepts due to poor theoretical background of practitioners and applied statisticians. This book is the product of a forty-year experience in teaching of probability and statistics and their applications for solving real-life problems. There are more than 442 examples in the book: basically every probability or statistics concept is illustrated with an example accompanied with an R code. Many examples, such as Who said π? What team is better? The fall of the Roman empire, James Bond chase problem, Black Friday shopping, Free fall equation: Aristotle or Galilei, and many others are intriguing. These examples cover biostatistics, finance, physics and engineering, text and image analysis, epidemiology, spatial statistics, sociology, etc. Advanced Statistics with Applications in R teaches students to use theory for solving real-life problems through computations: there are about 500 R codes and 100 datasets. These data can be freely downloaded from the author's website dartmouth.edu/~eugened. This book is suitable as a text for senior undergraduate students with major in statistics or data science or graduate students. Many researchers who apply statistics on the regular basis find explanation of many fundamental concepts from the theoretical perspective illustrated by concrete real-world applications.
| Author | : Agostino Di Ciaccio |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 464 |
| Release | : 2012-03-05 |
| Genre | : Mathematics |
| ISBN | : 3642210376 |
Download Advanced Statistical Methods for the Analysis of Large Data-Sets Book in PDF, ePub and Kindle
The theme of the meeting was “Statistical Methods for the Analysis of Large Data-Sets”. In recent years there has been increasing interest in this subject; in fact a huge quantity of information is often available but standard statistical techniques are usually not well suited to managing this kind of data. The conference serves as an important meeting point for European researchers working on this topic and a number of European statistical societies participated in the organization of the event. The book includes 45 papers from a selection of the 156 papers accepted for presentation and discussed at the conference on “Advanced Statistical Methods for the Analysis of Large Data-sets.”
| Author | : Jean-Louis Auget |
| Publisher | : Birkhäuser |
| Total Pages | : 540 |
| Release | : 2008-11-01 |
| Genre | : Mathematics |
| ISBN | : 9780817670856 |
Download Advances in Statistical Methods for the Health Sciences Book in PDF, ePub and Kindle
Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics. The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.
| Author | : Craig A. Mertler |
| Publisher | : Taylor & Francis |
| Total Pages | : 391 |
| Release | : 2016-10-24 |
| Genre | : Mathematics |
| ISBN | : 1351971670 |
Download Advanced and Multivariate Statistical Methods Book in PDF, ePub and Kindle
Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math. This highly applied approach covers the why, what, when and how of advanced and multivariate statistics in a way that is neither too technical nor too mathematical. Students also learn how to compute each technique using SPSS software. New to the Sixth Edition Instructor ancillaries are now available with the sixth edition. All SPSS directions and screenshots have been updated to Version 23 of the software. Student learning objectives have been added as a means for students to target their learning and for instructors to focus their instruction. Key words are reviewed and reinforced in the end of chapter material to ensure that students understand the vocabulary of advanced and multivariate statistics.
| Author | : Chandra Shekhar |
| Publisher | : CRC Press |
| Total Pages | : 249 |
| Release | : 2024-06-06 |
| Genre | : Technology & Engineering |
| ISBN | : 1040031471 |
Download Statistical Modeling and Applications on Real-Time Problems Book in PDF, ePub and Kindle
In an era dominated by mathematical and statistical models, this book unravels the profound significance of these tools in decoding uncertainties within numerical, observational, and calculation-based data. From governmental institutions to private entities, statistical prediction models provide a critical framework for optimal decision-making, offering nuanced insights into diverse realms, from climate to production and beyond. This book ·Serves as a comprehensive resource in statistical modeling, methodologies, and optimization techniques across various domains. ·Features contributions from global authors; the compilation comprises 10 insightful chapters, each addressing critical aspects of estimation and optimization through statistical modeling. ·Covers a spectrum of topics, from non-parametric goodness-of-fit statistics to Bayesian applications; the book explores novel resampling methods, advanced measures for empirical mode, and transient behavior analysis in queueing systems. ·Includes asymptotic properties of goodness-of-fit statistics, practical applications of Bayesian Statistics, modifications to the Hard EM algorithm, and explicit transient probabilities. ·Culminates with an exploration of an inventory model for perishable items, integrating preservation technology and learning effects to determine the economic order quantity. This book stands as a testament to global collaboration, offering a rich tapestry of commendable statistical and mathematical modeling alongside real-world problem-solving. It is poised to ignite further exploration, discussion, and innovation in the realms of statistical modeling and optimization.
| Author | : Stanislav Kolenikov |
| Publisher | : John Wiley & Sons |
| Total Pages | : 222 |
| Release | : 2010-02-22 |
| Genre | : Mathematics |
| ISBN | : 0470583320 |
Download Statistics in the Social Sciences Book in PDF, ePub and Kindle
A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical methodologies to help advance research and data analysis across the many disciplines in the social sciences. Quantitative methods in various subfields, from psychology to economics, are under demand for constant development and refinement. This volume features invited overview papers, as well as original research presented at the Sixth Annual Winemiller Conference: Methodological Developments of Statistics in the Social Sciences, an international meeting that focused on fostering collaboration among mathematical statisticians and social science researchers. The book provides an accessible and insightful look at modern approaches to identifying and describing current, effective methodologies that ultimately add value to various fields of social science research. With contributions from leading international experts on the topic, the book features in-depth coverage of modern quantitative social sciences topics, including: Correlation Structures Structural Equation Models and Recent Extensions Order-Constrained Proximity Matrix Representations Multi-objective and Multi-dimensional Scaling Differences in Bayesian and Non-Bayesian Inference Bootstrap Test of Shape Invariance across Distributions Statistical Software for the Social Sciences Statistics in the Social Sciences: Current Methodological Developments is an excellent supplement for graduate courses on social science statistics in both statistics departments and quantitative social sciences programs. It is also a valuable reference for researchers and practitioners in the fields of psychology, sociology, economics, and market research.
