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Stochastic Modelling and Control

Posted By: AvaxGenius
Stochastic Modelling and Control

Stochastic Modelling and Control by M. H. A. Davis , R. B. Vinter
English | PDF | 1985 | 405 Pages | ISBN : 9401086400 | 24.6 MB

This book aims to provide a unified treatment of input/output modelling and of control for discrete-time dynamical systems subject to random disturbances. The results presented are of wide applica­ bility in control engineering, operations research, econometric modelling and many other areas. There are two distinct approaches to mathematical modelling of physical systems: a direct analysis of the physical mechanisms that comprise the process, or a 'black box' approach based on analysis of input/output data.

SQL Server Analytical Toolkit: Using Windowing, Analytical, Ranking, and Aggregate Functions for Data and Statistical Analysis

Posted By: GFX_MAN
SQL Server Analytical Toolkit: Using Windowing, Analytical, Ranking, and Aggregate Functions for Data and Statistical Analysis

SQL Server Analytical Toolkit: Using Windowing, Analytical, Ranking, and Aggregate Functions for Data and Statistical Analysis
English | 2023 | ISBN: 1484286677 | 1069 Pages | PDF | 95.58 MB

Learn window function foundational concepts through a cookbook-style approach, beginning with an introduction to the OVER() clause, its various configurations in terms of how partitions and window frames are created, and how data is sorted in the partition so that the window function can operate on the partition data sets. You will build a toolkit based not only on the window functions but also on the performance tuning tools, use of Microsoft Excel to graph results, and future tools you can learn such as PowerBI, SSIS, and SSAS to enhance your data architecture skills.

Multivariate Data Analysis

Posted By: AvaxGenius
Multivariate Data Analysis

Multivariate Data Analysis by Fionn Murtagh , André Heck
English | PDF | 1987 | 225 Pages | ISBN : 9027724261 | 19.7 MB

Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue. This book fills the gap by providing a presentation of the most useful techniques in multivariate statistics. A wide-ranging annotated set of general and astronomical bibliographic references follows each chapter, providing valuable entry-points for research workers in all astronomical sub-disciplines. Although the applications considered focus on astronomy, the algorithms used can be applied to similar problems in other branches of science. Fortran programs are provided for many of the methods described.

Analysis of Multivariate Survival Data

Posted By: AvaxGenius
Analysis of Multivariate Survival Data

Analysis of Multivariate Survival Data by Philip Hougaard
English | PDF | 2000 | 559 Pages | ISBN : 0387988734 | 70.8 MB

Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. This book extends the field by allowing for multivariate times. Applications where such data appear are survival of twins, survival of married couples and families, time to failure of right and left kidney for diabetic patients, life history data with time to outbreak of disease, complications and death, recurrent episodes of diseases and cross-over studies with time responses. As the field is rather new, the concepts and the possible types of data are described in detail and basic aspects of how dependence can appear in such data is discussed. Four different approaches to the analysis of such data are presented. The multi-state models where a life history is described as the subject moving from state to state is the most classical approach. The Markov models make up an important special case, but it is also described how easily more general models are set up and analyzed. Frailty models, which are random effects models for survival data, made a second approach, extending from the most simple shared frailty models, which are considered in detail, to models with more complicated dependence structures over individuals or over time. Marginal modelling has become a popular approach to evaluate the effect of explanatory factors in the presence of dependence, but without having specified a statistical model for the dependence. Finally, the completely non-parametric approach to bivariate censored survival data is described. This book is aimed at investigators who need to analyze multivariate survival data, but due to its focus on the concepts and the modelling aspects, it is also useful for persons interested in such data, but

Data Analysis in Cosmology

Posted By: AvaxGenius
Data Analysis in Cosmology

Data Analysis in Cosmology by Vicent J. Martinez, Enn Saar, Enrique Martinez Gonzales, Maria Jesus Pons-Borderia
English | PDF (True) | 2009 | 636 Pages | ISBN : 3540239723 | 17.15 MB

The amount of cosmological data has dramatically increased in the past decades due to an unprecedented development of telescopes, detectors and satellites. Efficiently handling and analysing new data of the order of terabytes per day requires not only computer power to be processed but also the development of sophisticated algorithms and pipelines.
Aiming at students and researchers the lecture notes in this volume explain in pedagogical manner the best techniques used to extract information from cosmological data, as well as reliable methods that should help us improve our view of the universe.

Modelling and Reasoning with Vague Concepts

Posted By: AvaxGenius
Modelling and Reasoning with Vague Concepts

Modelling and Reasoning with Vague Concepts by Jonathan Lawry
English | PDF | 2006 | 260 Pages | ISBN : 0387290567 | 13.7 MB

Vague concepts are intrinsic to human communication. Somehow it would seems that vagueness is central to the flexibility and robustness of natural l- guage descriptions. If we were to insist on precise concept definitions then we would be able to assert very little with any degree of confidence.

Breakthroughs in Statistics

Posted By: AvaxGenius
Breakthroughs in Statistics

Breakthroughs in Statistics by Samuel Kotz, Norman L. Johnson
English | PDF | 1997 | 576 Pages | ISBN : 0387949887 | 50.6 MB

This is author-approved bcc: This is the third volume of a collection of seminal papers in the statistical sciences written during the past 110 years. These papers have each had an outstanding influence on the development of statistical theory and practice over the last century. Each paper is preceded by an introduction written by an authority in the field providing background information and assessing its influence. Volume III concerntrates on articles from the 1980's while including some earlier articles not included in Volume I and II. Samuel Kotz is Professor of Statistics in the College of Business and Management at the University of Maryland. Norman L. Johnson is Professor Emeritus of Statistics at the University of North Carolina. Also available: Breakthroughs in Statistics Volume I: Foundations and Basic Theory Samuel Kotz and Norman L. Johnson, Editors 1993. 631 pp. Softcover. ISBN 0-387-94037-5 Breakthroughs in Statistics Volume II: Methodology and Distribution Samuel Kotz and Norman L. Johnson, Editors 1993. 600 pp. Softcover. ISBN 0-387-94039-1

Equilibrium Problems and Variational Models

Posted By: AvaxGenius
Equilibrium Problems and Variational Models

Equilibrium Problems and Variational Models by Patrizia Daniele, Franco Giannessi, Antonino Maugeri
English | PDF | 2003 | 450 Pages | ISBN : 1402074700 | 31.1 MB

The volume, devoted to variational analysis and its applications, collects selected and refereed contributions, which provide an outline of the field. The meeting of the title "Equilibrium Problems and Variational Models", which was held in Erice (Sicily) in the period June 23 - July 2 2000, was the occasion of the presentation of some of these papers; other results are a consequence of a fruitful and constructive atmosphere created during the meeting.

Small-Angle Scattering: Theory, Instrumentation, Data, and Applications

Posted By: AvaxGenius
Small-Angle Scattering: Theory, Instrumentation, Data, and Applications

Small-Angle Scattering: Theory, Instrumentation, Data, and Applications by Ian W. Hamley
English | PDF | 2021 | 283 Pages | ISBN : 1119768306 | 9.5 MB

A comprehensive and timely volume covering contemporary research, practical techniques, and theoretical approaches to SAXS and SANS
Small-Angle Scattering: Theory, Instrumentation, Data, and Applications provides authoritative coverage of both small-angle X-ray scattering (SAXS), small-angle neutron scattering (SANS) and grazing incidence small-angle scattering (GISAS) including GISAXS and GISANS. This single-volume resource offers readers an up-to-date view of the state of the field, including the theoretical foundations, experimental methods, and practical applications of small-angle scattering (SAS) techniques including laboratory and synchrotron SAXS and reactor/spallation SANS.

Gravitational Waves from Coalescing Binaries

Posted By: AvaxGenius
Gravitational Waves from Coalescing Binaries

Gravitational Waves from Coalescing Binaries by Stanislav Babak
English | PDF(True) | 2020 | 117 Pages | ISBN : 1681737027 | 5.4 MB

This book is to help post-graduate students to get into gravitational wave astronomy. We assume the knowledge of General Relativity theory, though we will concentrate on the physics and often omit mathematically strict derivations. We provide references to already existing literature where possible, this helps us to see a broad picture, skipping the details. The uniqueness of this book is in that it covers three frequency bands and three major world-wide efforts to detect gravitational waves.

Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas (Repost)

Posted By: AvaxGenius
Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas (Repost)

Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas by William Parker
English | EPUB | 2021 | 469 Pages | ISBN : 1803241667 | 7 MB

Get well versed with the core concepts of ArcGIS Pro through hands-on exercises and real-world case studies
Key FeaturesMaster the core components of arcpy for ArcGIS Pro and how to use the ArcGIS API for Python for ArcGIS OnlineGet practical expertise on each topic with hands-on exercises in every chapter and real-world case studies at the end of the bookUnderstand concepts with respect to Jupyter Notebooks integrated throughout the bookFocus on data science using Pandas, SciPy, and ArcGIS Pro for raster and vector analysis
Irrespective of one’s level of expertise with Esri software, a good command of Python is necessary to drive a geospatial environment. Python proficiency makes even an experienced user of Esri technology/software 5–10-times as valuable as a non-coding GIS analyst. Python for ArcGIS Pro explains how to incorporate scripting at each step from mapping to data science, databases, and data services.

Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS (Repost)

Posted By: AvaxGenius
Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS (Repost)

Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS by Ralph O. Mueller
English | PDF | 1996 | 252 Pages | ISBN : 0387945164 | 27.3 MB

During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his associates (e. g. , Joreskog, 1977; Joreskog and Van Thillo, 1973) began to make general SEM techniques accessible to the social and behavioral science research communities.

Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas (Repost)

Posted By: AvaxGenius
Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas (Repost)

Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, and pandas by William Parker
English | EPUB | 2021 | 469 Pages | ISBN : 1803241667 | 7 MB

Get well versed with the core concepts of ArcGIS Pro through hands-on exercises and real-world case studies
Key FeaturesMaster the core components of arcpy for ArcGIS Pro and how to use the ArcGIS API for Python for ArcGIS OnlineGet practical expertise on each topic with hands-on exercises in every chapter and real-world case studies at the end of the bookUnderstand concepts with respect to Jupyter Notebooks integrated throughout the bookFocus on data science using Pandas, SciPy, and ArcGIS Pro for raster and vector analysis
Irrespective of one’s level of expertise with Esri software, a good command of Python is necessary to drive a geospatial environment. Python proficiency makes even an experienced user of Esri technology/software 5–10-times as valuable as a non-coding GIS analyst. Python for ArcGIS Pro explains how to incorporate scripting at each step from mapping to data science, databases, and data services.

Statistical Analysis and Forecasting of Economic Structural Change

Posted By: AvaxGenius
Statistical Analysis and Forecasting of Economic Structural Change

Statistical Analysis and Forecasting of Economic Structural Change by Peter Hackl
English | PDF | 1989 | 495 Pages | ISBN : 3662025736 | 41 MB

In 1984, the University of Bonn (FRG) and the International Institute for Applied System Analysis (IIASA) in Laxenburg (Austria), created a joint research group to analyze the relationship between economic growth and structural change.

Scientific Data Mining and Knowledge Discovery: Principles and Foundations

Posted By: AvaxGenius
Scientific Data Mining and Knowledge Discovery: Principles and Foundations

Scientific Data Mining and Knowledge Discovery: Principles and Foundations by Mohamed Medhat Gaber
English | PDF | 2009 | 398 Pages | ISBN : 3642027873 | 7.9 MB

With the evolution in data storage, large databases have stimulated researchers from many areas, especially machine learning and statistics, to adopt and develop new techniques for data analysis in different fields of science. In particular, there have been notable successes in the use of statistical, computational, and machine learning techniques to discover scientific knowledge in the fields of biology, chemistry, physics, and astronomy. With the recent advances in ontologies and knowledge representation, automated scientific discovery (ASD) has further, great prospects in the future.