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(으)로 111개의 도서가 검색 되었습니다.
Textual Information Access (Statistical Models)
Gaussier, E. | Wiley-Iste
280,170원 | 20121124 | 9781848213227
Statistical models recently developed in several research communities (natural language processing, information retrieval, machine learning) for textual information access pertain to several application domains: Information extraction and retrieval, Text classification and clustering, Opinion mining, Comprehension aids (automatic summarization, automatic translation, visualization).
가격비교
Statistical Models
Davison, A. C. | Cambridge
97,420원 | 20081017 | 9780521734493
An integrated development of models and likelihood that blends theory and practice, suitable for advanced undergraduate and graduate students, researchers and practitioners. Each chapter of this 2003 book contains a wide range of problems and exercises. A library of data sets accompanying the book is available over the web.
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Fiber Bundles (Statistical Models and Applications)
| Springer Nature B.V.
73,480원 | 20230316 | 9783031147982
?This book presents a critical overview of statistical fiber bundle models, including existing models and potential new ones. The authors focus on both the physical and statistical aspects of a specific load-sharing example: the breakdown for circuits of capacitors and related dielectrics. In addition, they investigate some areas of open research.
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Statistical Models in S
|
0원 | 19911001 | 9780412053016
Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research department at AT&T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling data.
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Model to Meaning (How to Interpret Statistical Models with R and Python)
|
336,530원 | 20250928 | 9781032908908
Proposes a consistent workflow that can be applied to (almost) any statistical or machine learning model. Readers will learn how to transform complex parameter estimates into quantities that are readily interpretable, intuitive, and understandable.
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Model to Meaning (How to Interpret Statistical Models with R and Python)
|
130,240원 | 20250928 | 9781032908724
Proposes a consistent workflow that can be applied to (almost) any statistical or machine learning model. Readers will learn how to transform complex parameter estimates into quantities that are readily interpretable, intuitive, and understandable.
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Computer Vision (Statistical Models for Marr’s Paradigm)
| Springer Nature B.V.
73,480원 | 20230316 | 9783030965310
As the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as Bela Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford. The authors hope to provide foundation and, perhaps more importantly, further inspiration for continued research in vision. This book covers David Marr's paradigm and various underlying statistical models for vision.
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Linear Statistical Models
Stapleton, James H. | Wiley
144,000원 | 20090803 | 9780470231463
Praise for the First Edition "This impressive and eminently readable text... [is] a welcome addition to the statistical literature. " -The Indian Journal of Statistics Revised to reflect the current developments on the topic, Linear Statistical Models, Second Edition provides an up-to-date approach to various statistical model concepts.
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Probability and Statistical Models
Gupta, Arjun K.; Zen | Springer Verlag
101,040원 | 20210101 | 9780817649869
With an emphasis on models and techniques, this textbook introduces many of the fundamental concepts of stochastic modeling that are now a vital component of almost every scientific investigation. In particular, emphasis is placed on laying the foundation for solving problems in reliability, insurance, finance, and credit risk. The material has been carefully selected to cover the basic concepts and techniques on each topic, making this an ideal introductory gateway to more advanced learning.
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Lifetime Data (Statistical Models and Methods)
World Scientific Publishing Company | World Scientific
143,320원 | 20160328 | 9789814730662
?This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful for researchers who wish to choose appropriate models and methods for analyzing lifetime data. There is an extensive discussion on the concept and role of ageing in choosing appropriate models for lifetime data, with a special emphasis on tests of exponentiality.
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Multilevel Statistical Models
Goldstein, Harvey | Wiley
170,180원 | 20110415 | 9780470748657
Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages.
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Statistical Models and Methods for Data Science
| Springer Nature B.V.
73,480원 | 20230725 | 9783031301650
This book focuses on methods and models in classification and data analysis and presents real-world applications at the interface with data science. Numerous topics are covered, ranging from statistical inference and modelling to clustering and factorial methods, and from directional data analysis to time series analysis and small area estimation. The applications deal with new developments in a variety of fields, including medicine, finance, engineering, marketing, and cyber risk.
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Statistical Models and Inference
| John Wiley & Sons Inc
213,950원 | 20180102 | 9780470140161
Enjoyable mental exercises to help boost performance on IQ tests This engaging book offers readers the ultimate in calisthenics for the brain.
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Data-Driven Computational Neuroscience: Machine Learning and Statistical Models (Machine Learning and Statistical Models)
Concha Bielza, Larranaga, Pedro | Cambridge University Press
175,290원 | 20210131 | 9781108493703
Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-depth guide to statistical and machine learning methods.
가격비교
Applied Linear Statistical Models
Kutner | McGraw Hill
49,500원 | 20041101 | 9780071122214
Applied Linear Statistical Models , 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and Notes to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.
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