Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models.
Interest in the topic has grown, and various practical analytical tools have been developed.
Victoria Lee
Lee Charles Kelley
The maid for a wealthy couple who lives in a mansion along the maine coast, is found dead at the bottom of the main staircase a few weeks before christmas.
Lee Ann Hoff
People in crisis, 7th edition, remains the most comprehensive and user-friendly text available to health and social-service professionals.
Lee Ann Hoff
People in crisis, 7th edition, remains the most comprehensive and user-friendly text available to health and social-service professionals.
Daniel Lee
Based on documents discovered concealed within a simple chair for seventy years, this gripping investigation into the life of a single s.
Lee Falk
The critically acclaimed, best selling complete reprint of the phantom continues!
Lynne Barrett-Lee
Lee Armstrong
Lee Jackson
When ronald reagan asks covert operator and west point graduate atcho to execute an impossible assignment, he finds himself on a deadly mission deep in siberia with no support.
Linda Davies , Contributing writers: Christopher Bundy, Michael Byers, Rand Richards Cooper, Tristan Davies, Siobhan Dowd, Siri Hustvedt, Tom Miller Juvik, Jennifer Levasseur, Deepa Mehta, Karenmary Penn, Kevin Rabalais, L.M. Spencer, Lee Upton Susan Burm
Linda Davies , Contributing writers: Christopher Bundy, Michael Byers, Rand Richards Cooper, Tristan Davies, Siobhan Dowd, Siri Hustvedt, Tom Miller Juvik, Jennifer Levasseur, Deepa Mehta, Karenmary Penn, Kevin Rabalais, L.M. Spencer, Lee Upton Susan Burm
Sampson Lee Blair
Keishia Lee Louis
Lee Livingood
M. A. Lee
Deb Jj Lee
Helen Elaine Lee
Quentin Lee
Yong-Shik Lee
Lee Mandelo
Mackenzi Lee
Marty C. Lee
Rebecca Lee
Lee Cole
Cheng-Few Lee
Fonda Lee
Lee Wylde
Julia Lee
Ash Lee HG
MaryJo Benton Lee
MaryJo Benton Lee
Lee Hartman
MaryJo Benton Lee
Lee Samuel Finn
Reginald Tomas Lee
John J. R. Lee
Makenna Lee
Don Lee Fred Nilsen
The memoir of a woman ("jane barrie" was a pseudonym for mildred savage) who joins her husband in his lumberyard when she realizes that the business is deeply in debt and foundering financially.
Lee W. Graber
Nancy Lee
Lyla Lee
Janice A. Lee
Jean Lee
Chenelle Lee Hitchcock
Lee Call
Andrew Lee Bridges
Stan Lee
Lyla Lee
Jerry Won Lee
Thomas P. Wangler
Nalini Ravishanker
Craig A. Tovey
Nalini Ravishanker
Daizhan Cheng
From dimension-free matrix theory to cross-dimensional dynamic systems illuminates the underlying mathematics of semi-tensor product (stp), a generalized matrix product that extends the conventional matrix product to two matrices of arbitrary dimen.
Howard Anton
elementary linear algebra 12th edition gives an elementary treatment of linear algebra that is suitable for a first course for undergraduate students.
Al Cuoco
Frederick P. Greenleaf
Crista Arangala
exploring linear algebra: labs and projects with matlab(r) is a hands-on lab manual that can be used by students and instructors in classrooms every day to guide the exploration of the theory and applications of linear algebr.
D. R. Fulkerson
Tertulien Ndjountche
The book presents design methods for analog integrated circuits with improved electrical performance.
Wai-Kai Chen
Standard-setting, groundbreaking, authoritative, comprehensive--these often overused words perfectly describe the circuits and filters handbook, third edition.
Shankar P. Bhattacharyya
Kenneth G. Russell
Generalized linear models (glms) allow many statistical analyses to be extended to important statistical distributions other than the normal distribution.
J. S. Chahal
Fundamentals of linear algebra is like no other book on the subject.
Stephen H. Friedberg
Francesco Borrelli
Model predictive control (mpc), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book.
Tertulien Ndjountche
With a focus on designing and verifying cmos analog integrated circuits, the book reviews design techniques for mixed-signal building blocks, such as nyquist and oversampling data converters, and circuits for signal generation, synthesis, and recovery.
James W. Hardin
Generalized linear models and extensions, second edition provides a comprehensive overview of the nature and scope of generalized linear models (glms) and of the major changes to the basic glm algorithm that allow modeling of data that violate glm distrib.
Lin Weng
This book provides a systematic account of several breakthroughs in the modern theory of zeta functions.
James R. Kirkwood
Linear algebra is an important part of pure mathematics, and is needed for applications in every part of mathematics, natural science and economics.
Aleksandr Aravkin
Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications.
Kenneth G. Russell
Generalized linear models (glms) allow many statistical analyses to be extended to important statistical distributions other than the normal distribution.
Michael J. Panik
Guides in the application of linear programming to firm decision making, with the goal of giving decision-makers a better understanding of methods at their disposaluseful as a main resource or as a supplement in an economics or manageme.
J. S. Chahal
Fundamentals of linear algebra is like no other book on the subject.
Adrian G. Barnett
Tertulien Ndjountche
With a focus on designing and verifying cmos analog integrated circuits, the book reviews design techniques for mixed-signal building blocks, such as nyquist and oversampling data converters, and circuits for signal generation, synthesis, and recovery.
Daniele Bertaccini
This book describes, in a basic way, the most useful and effective iterative solvers and appropriate preconditioning techniques for some of the most important classes of large and sparse linear systems.
Kenneth G. Russell
Generalized linear models (glms) allow many statistical analyses to be extended to important statistical distributions other than the normal distribution.
J. S. Chahal
Fundamentals of linear algebra is like no other book on the subject.
Tertulien Ndjountche
David C. Mello
invitation to linear algebra is an informative, clearly written, flexible textbook for instructors and students.
Lee W. Johnson
This manual contains completely worked-out solutions for all the odd-numbered exercises in the text..
Francesco Borrelli
Model predictive control (mpc), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book.
C. Henry Edwards
Note: this edition features the same content as the traditional text in a convenient, three-hole-punched, loose-leaf version.
Qingwen Hu
Concise introduction to linear algebra deals with the subject of linear algebra, covering vectors and linear systems, vector spaces, orthogonality, determinants, eigenvalues and eigenvectors, singular value decomposition.
Lawrence E. Spence
John F. Monahan
Willem Adriaan de Graaf
Designed as a self-contained account of a number of key algorithmic problems and their solutions for linear algebraic groups, this book combines in one single text both an introduction to the basic theory of linear algebraic groups and a substantial colle.
Holger Wendland
This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject.
Lee Johnson
Introduction to linear algebra, sixth edition, is a foundation text that bridges both practical computation and theoretical principles.
Ron Larson
Elementary linear algebra is written for the first undergraduate course.
Marvin H. J. Gruber
Provides an easy-to-understand guide to statistical linear models and its uses in data analysis this book defines a broad spectrum of statistical linear models that is useful in the analysis of data.
Graham J. G. Upton
Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying r codethis book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicate.
Kristopher Tapp
Matrix groups are a beautiful subject and are central to many fields in mathematics and physics.
Kentaro Tanaka
this book is the first to be devoted to the fusion between statistical causal inference and mathematical programming.
Stephen Andrilli
Elementary linear algebra's clear, careful, and concise presentation of material helps you fully understand how mathematics works.
Stephen Andrilli
Elementary linear algebra's clear, careful, and concise presentation of material helps you fully understand how mathematics works.
James S. Hodges
A first step toward a unified theory of richly parameterized linear modelsusing mixed linear models to analyze data often leads to results that are mysterious, inconvenient, or wrong.
Edgar G. Goodaire
Titu Andreescu
Leonard C. Maximon
Carlos M. da Fonseca
Jouhaina Siala Chaouachi
For upper-division/graduate courses in operations research/management science, mathematics, and computer science, this text covers basic theory, selected applications, network flow problems, and advanced techniques..
Graham J. G. Upton
Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying r codethis book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicate.
Jiri Vlach