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Mass Transfers and Physical Data Estimation

, provided physical data is available. To this end, Mass Transfers and Physical Data Estimation pays particular attention to methods of data;

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Data Localization Laws and Policy

Regulation). It covers historical objectives and practical problems, showing why the focus should move from physical data location to effective;

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Statistical Methods Of Geophysical Data Processing

students and professionals from various fields of physics, connected with an estimation of the parameters of the physical objects by experimental;

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Statistical Data Analysis

physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte;

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Cyber-Physical Power Systems State Estimation

Cyber-Physical Power System State Estimation updates classic state estimation tools to enable real-time operations and optimize;

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Transport & Surface Phenomena

. The book and is also ideal for those in related fields such as physical chemistry, energy engineering, and materials science, for whom a;

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Food Freezing and Thawing Calculations

analysis to solve the complete set of equations describing the physical process. The Brief will evaluate the methods against experimental data and;

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High-Dimensional Covariance Estimation

environmental and physical sciences. High-Dimensional Covariance Estimation provides accessible and comprehensive coverage of the classical and modern;

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Spectroscopic Properties Of Natural Flavonoids

This book offers physical characteristics and spectral data of 150 selected natural compounds arranged according to their chemical;

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Data Assimilation

, geophysics and engineering. Of growing importance in physical oceanography, data assimilation can also be exploited in biological and chemical;

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Spectral Analysis of Signals

, medical imaging, radar, sonar, and underwater acoustics. Most existing spectral estimation algorithms are devised for uniformly sampled complete;

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Cyber-Physical Vehicle Systems

This book studies the design optimization, state estimation, and advanced control methods for cyber-physical vehicle systems (CPVS) and;

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Multisensor Fusion Estimation Theory and Application

This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four;

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Statistical Data Fusion

'The book provides a comprehensive review of the DRM approach to data fusion. It is well written and easy to follow, although the technical;

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Multisensor Attitude Estimation

association, correlation, estimation, and combination of data and information from several sources. Data fusion for attitude estimation is motivated;

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Deep Learning and Missing Data in Engineering Systems

Deep Learning and Missing Data in Engineering Systems uses deep learning and swarm intelligence methods to cover missing data estimation;

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Multivariate Density Estimation

Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods;

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Energy and Mass Transfers

This is the first book of a series aiming at setting the basics for energy engineering. This book presents the fundamentals of heat and;

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Maximum Entropy Econometrics

-estimation and inference. Seldom, however, are the economic and statistical models correctly specified, the data complete or capable of being;

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Applied Mineral Inventory Estimation

particular emphasis on the geological basis of such estimations, the need for and maintenance of a high quality assay data base, the practical use;

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Modal View of Atmospheric Variability

variables, have been used for a long time. They have played an important role in the development of data assimilation schemes and the initialization;

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Nonparametric Function Estimation, Modeling, and Simulation

analysis points, multi-dimensional data analysis, and analysis of remote sensing data, cancer progression, chaos theory, epidemiological modeling;

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Quantitative Genetics And Its Connections With Big Data And Sequenced Genomes

looking view as to how direct methods of estimation arise from the availability of big data sets and sequenced genomes of each individual in the;

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Quantitative Genetics And Its Connections With Big Data And Sequenced Genomes

looking view as to how direct methods of estimation arise from the availability of big data sets and sequenced genomes of each individual in the;

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Estimation of Spatial Panels

Spatial panel models have panel data structures to capture spatial interactions across spatial units and over time. There are static as;

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Measurement Data Modeling and Parameter Estimation

Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement;

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Measurement Data Modeling and Parameter Estimation

Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement;

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