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共97筆商品，3/5頁
Geostatistical Modelling with R

41.Geostatistical Modelling with R

作者：Patrick Brown  出版社：Chapman & Hall  出版日：2020/01/31 裝訂：精裝
This book provides a comprehensive reference for solving scientific problems with the generalized linear geostatistical model (GLGM), with an emphasis on demonstrating the accompanying software throug
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02-25006600[分機130、131]。
Mathematical Statistics ─ Basic Ideas and Selected Topics

42.Mathematical Statistics ─ Basic Ideas and Selected Topics

作者：Peter J. Bickel; Kjell A. Doksum  出版社：Productivity Press  出版日：2015/09/02 裝訂：平裝
This book covers a number of topics that are important in current measure theory and practice. It emphasizes nonparametric methods which can really only be implemented with modern computing power on l
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02-25006600[分機130、131]。
Richly Parameterized Linear Models ─ Additive, Time Series, and Spatial Models Using Random Effects

43.Richly Parameterized Linear Models ─ Additive, Time Series, and Spatial Models Using Random Effects

作者：James S. Hodges  出版社：Taylor & Francis  出版日：2013/11/04 裝訂：精裝
"This book covers a wide range of statistical models, including hierarchical, hierarchical generalized linear, linear mixed, dynamic linear, smoothing, spatial, and longitudinal. It presents a framewo
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Introduction to Probability

44.Introduction to Probability

作者：Joseph K. Blitzstein; Jessica Hwang  出版社：Chapman & Hall  出版日：2019/02/20 裝訂：精裝
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a
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Multivariate Survival Analysis and Competing Risks
90折

45.Multivariate Survival Analysis and Competing Risks

作者：Martin J. Crowder  出版社：Chapman & Hall  出版日：2016/10/31 裝訂：平裝
Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many r
定價：3972 元， 優惠價：9 3575
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Time Series ─ Modeling. Computation, and Inference

46.Time Series ─ Modeling. Computation, and Inference

作者：Raquel Prado; Marco A. R. Ferreira; Mike West  出版社：Chapman & Hall  出版日：2018/01/15 裝訂：精裝
This is the second edition of a popular graduate level textbook on time series modeling, computation and inference. The book is essentially unique in its approach, with a focus on Bayesian methods, al
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Spatio-Temporal Methods in Environmental Epidemiology

47.Spatio-Temporal Methods in Environmental Epidemiology

作者：Gavin Shaddick; James V. Zidek  出版社：Taylor & Francis  出版日：2015/07/07 裝訂：精裝
Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological StudiesSpatio-Temporal Methods in Environmental Epidemiology is the first book of its kind to specifically address the i
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Design and Analysis of Experiments With R

48.Design and Analysis of Experiments With R

作者：John Lawson (EDT)  出版社：Taylor & Francis  出版日：2014/07/15 裝訂：精裝
One of the first texts to use R to illustrate the construction of experimental designs and analysis of data, this book covers both classical ideas in experimental design and the latest research topics
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02-25006600[分機130、131]。
A Computational Approach to Statistical Learning

49.A Computational Approach to Statistical Learning

作者：Taylor Arnold; Michael Kane; Bryan W. Lewis  出版社：Chapman & Hall  出版日：2019/01/29 裝訂：精裝
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02-25006600[分機130、131]。
Stochastic Processes ─ An Introduction

50.Stochastic Processes ─ An Introduction

作者：Peter Watts Jones; Peter Smith  出版社：Productivity Press  出版日：2017/07/25 裝訂：精裝
Based on a well-established and popular course taught by the authors over many years, Stochastic Processes: An Introduction, Third Edition, discusses the modelling and analysis of random experiments,
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Mathematical Statistics ─ Basic Ideas and Selected Topics

51.Mathematical Statistics ─ Basic Ideas and Selected Topics

作者：Peter J. Bickel; Kjell A. Doksum  出版社：Productivity Press  出版日：2015/04/13 裝訂：平裝
Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testin
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Pragmatics of Uncertainty

52.Pragmatics of Uncertainty

作者：Joseph B. Kadane  出版社：Productivity Press  出版日：2016/09/30 裝訂：精裝
A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using rea
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02-25006600[分機130、131]。
Statistical Inference ─ An Integrated Approach

53.Statistical Inference ─ An Integrated Approach

作者：Helio S. Migon; Dani Gamerman; Francisco Louzada-neto  出版社：Taylor & Francis  出版日：2014/08/15 裝訂：精裝
Unique in its presentation of topics from both classical and Bayesian perspectives, this second edition balances both sides elegantly and describes the relative strengths and weaknesses of the differe
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02-25006600[分機130、131]。
Introduction to Statistical Methods for Financial Models

54.Introduction to Statistical Methods for Financial Models

作者：Thomas A. Severini  出版社：Chapman & Hall  出版日：2017/07/14 裝訂：精裝
This book provides an introduction to the use of statistical concepts and methods to model and analyze financial data. The ten chapters of the book fall naturally into three sections. Chapters 1 to 3
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Stochastic Processes ─ From Applications to Theory

55.Stochastic Processes ─ From Applications to Theory

作者：Pierre Del Moral; Spiridon Penev  出版社：Productivity Press  出版日：2016/11/08 裝訂：精裝
Unlike traditional books presenting stochastic processes in an academic way, this book includes concrete applications that students will find interesting such as gambling, finance, physics, signal pro
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Generalized Linear Mixed Models：Modern Concepts, Methods and Applications, Second Edition

56.Generalized Linear Mixed Models：Modern Concepts, Methods and Applications, Second Edition

作者：Walter W. (University of Nebraska Stroup Lincoln USA)  出版社：Taylor & Francis Inc  出版日：2021/01/01 裝訂：精裝
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Applied Linear Regression for Longitudinal Data：With an Emphasis on Missing Observations

57.Applied Linear Regression for Longitudinal Data：With an Emphasis on Missing Observations

作者：Frans E.S. Tan; Shahab Jolani  出版社：PBKTYFRL  出版日：2022/12/09 裝訂：精裝
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Statistical Rethinking：A Bayesian Course with Examples in R and STAN

58.Statistical Rethinking：A Bayesian Course with Examples in R and STAN

作者：Richard (Max Planck Institute for Evolutionary Anthropology McElreath Leipzig Germany)  出版社：PBKTYFRL  出版日：2020/03/20 裝訂：精裝
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Linear Models and the Relevant Distributions and Matrix Algebra

59.Linear Models and the Relevant Distributions and Matrix Algebra

作者：David A. Harville  出版社：Chapman & Hall  出版日：2018/03/01 裝訂：精裝
Linear Models and the Relevant Distributions and Matrix Algebra provides in-depth and detailed coverage of the use of linear statistical models as a basis for parametric and predictive inference. It c
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The Analysis of Time Series ― An Introduction With R

60.The Analysis of Time Series ― An Introduction With R

作者：Chris Chatfield; Haipeng Xing  出版社：CRC Pr I Llc  出版日：2019/05/17 裝訂：平裝
This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practice of time series analysis. The book cov
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