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Artificial Intelligence for Next Generation Computing, Volume 1

This book features proceedings of the 2nd International Conference on Artificial Intelligence, Computing Technologies, Internet of Things (IoT), and Data Analytics - AICTA 2024. The theme of the conferenc…

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N Thompson Hobbs, Mevin B Hooten
Bayesian Models

"A fully updated and expanded edition of the essential primer on Bayesian modeling for ecologistsUniquely suited to deal with complexity in a statistically coherent way, Bayesian modeling has become …

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Randall K Julian
R Programming for Mass Spectrometry

A practical guide to reproducible and high impact mass spectrometry data analysisR Programming for Mass Spectrometry teaches a rigorous and detailed approach to analyzing mass spectrometry data using the …

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Mark Prell
What Are the Odds?

From bar bets to Nobel Prizes, viral outbreaks to lottery wins, how statistics shapes our choices, reveals hidden truths, and guides us toward certainty in uncertain times.We live in an uncertain world. M…

lieferbar ab 14.4.2026.

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Kevin J Grimm
Categorical Data Analysis with Structural Equation Models

**Multivariate categorical outcomes, such as Likert scale responses and disease diagnoses, require specialized structural equation modeling (SEM) software to be analyzed properly.**Providing needed skills…

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National Academies of Sciences Engineering and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Division of Behavioral and Social Sciences and Education
Cybercrime Classification and Measurement

Cybercrime poses serious threats and financial costs to individuals and businesses in the United States and worldwide. Reports of data breaches and ransomware attacks on governments and businesses have be…

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Chris Hemedinger
SAS for Dummies

Unlock the value in your organization's data with SASSAS software offers data and analytics functionality that delivers valuable insights into the nuts and bolts of your business. In SAS For Dummies, you'…

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Jakub Tomek
Basic Statistics for Life Scientists

Concise and approachable yet rigorous discussion of the appropriate use of statistical techniques in life science researchBasic Statistics for Life Scientists is an approachable, concise handbook of essen…

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Steven W Knox
Machine Learning

New edition of a PROSE award finalist title on core concepts for machine learning, updated with the latest developments in the field, now with Python and R source code side-by-sideMachine Learning is a co…

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F Gregory Ashby
Statistical Decision Theory in Perception and Cognition

A comprehensive survey of the dominant methods for separating perceptual from decisional effects and for studying perceptual interactions.Human performance in any perceptual or cognitive task can change f…

lieferbar ab 19.5.2026.

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Noah A Rosenberg
Mathematical Properties of Population-Genetic Statistics

A powerful new approach to interpreting population-genetic data in evolution and ecologyPopulation genetics uses statistical analysis to catalog genetic variation among populations and species. Summary st…

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Stephen R Bowley, Edzard van Santen, Simon Riley, Diane K Michelson
Applied Statistics in Biology

Understand applied statistics and its application in biology researchBiology and its related sciences generate prodigious quantities of data through experimentation and observation. Interpreting this data…

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Liu Chu
Stochastic Finite Element Modeling in Electronic Packaging

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Research Methodology in Agricultural Sciences

This authored textbook provides a comprehensive guide to the methods and methodologies currently used in agricultural research, covering the entire process from conceptualisation to reporting. Recognising…

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The ESRI Guide to GIS Analysis, Volume 2

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General Audio Signal Processing with Deep Learning

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Tanvir Islam
Hands-on Deep Learning

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Victoria A Greenfield, Tobias Sytsma, Amanda Kerrigan
Forced Labor in Global Supply Chains

This report discusses methods of evaluating the U.S. Department of Homeland Security's impact on forced labor globally, presents findings on the department's efforts, and provides recommendations for stre…

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Predrag S. Stanimirovi¿, Yimin Wei, Shuai Li, Dimitrios Gerontitis
Generalized Matrix Inversion: A Machine Learning Approach

This book presents a comprehensive exploration of the dynamical system approach in numerical linear algebra, with a special focus on computing generalized inverses, solving systems of linear equations, an…

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