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Número de Cutter-Sanborn y catálogo bibliográfico en español, con millones de obras, ediciones y autores.

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Committee on Applied and Theoretical Statistics

Número de Cutter-SanbornS797Entrada de tabla «Stat»

Committee on Applied and Theoretical Statistics

· 21 obras en el catálogo

Obras

FFrontiers in Massive Data Analysis

Frontiers in Massive Data Analysis

SStrengthening Forensic Science in the United States

Strengthening Forensic Science in the United States

TTraining Students to Extract Value from Big Data

Training Students to Extract Value from Big Data

Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment

SStatistical Challenges in Assessing and Fostering the Reprod

Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results

Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions

RRefining the Concept of Scientific Inference When Working wi

Refining the Concept of Scientific Inference When Working with Big Data

DData Science for Undergraduates

Data Science for Undergraduates

EEnhancing Urban Sustainability with Data, Modeling, and Simu

Enhancing Urban Sustainability with Data, Modeling, and Simulation

Applying Big Data to Address the Social Determinants of Health in Oncology

Life-Cycle Decisions for Biomedical Data

Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science

AAutomated Research Workflows for Accelerated Discovery

Review of Proposals for Research on Statistical Methodologies for Assessing Variables in Eyewitness Performance

SSteps Toward Large-Scale Data Integration in the Sciences

Steps Toward Large-Scale Data Integration in the Sciences

MModern Interdisciplinary University Statistics Education

Modern Interdisciplinary University Statistics Education

Committee on Applied and Theoretical Statistics — obras y número de Cutter | Cutter Number

Committee on Applied and Theoretical Statistics

Obras

Frontiers in Massive Data Analysis

Strengthening Forensic Science in the United States

Training Students to Extract Value from Big Data

Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment

Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results

Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions

Refining the Concept of Scientific Inference When Working with Big Data

Data Science for Undergraduates

Enhancing Urban Sustainability with Data, Modeling, and Simulation

Applying Big Data to Address the Social Determinants of Health in Oncology

Life-Cycle Decisions for Biomedical Data

Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science

Automated Research Workflows for Accelerated Discovery

Discriminant Analysis and Clustering

Innovations in Software Engineering for Defense Systems

Statistical Analysis of Massive Data Streams

Massive Data Sets

Envisioning the Data Science Discipline : The Undergraduate Perspective

Review of Proposals for Research on Statistical Methodologies for Assessing Variables in Eyewitness Performance

Steps Toward Large-Scale Data Integration in the Sciences

Modern Interdisciplinary University Statistics Education