
Doing Meta-Analysis with R - Harrer, Mathias; Cuijpers, Pim; Furukawa, Toshi A.;…
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This book seeks to replace existing books with a more rigorous stand-alone text that covers fewer examples but with more…
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This book sheds new light on stochastic calculus, the branch of mathematics that is most widely applied in financial…
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This innovative lab book provides a unified methodology for problem solving in structural geology using linear algebra and…
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Designed for undergraduate students of set theory, this book presents a modern perspective of the classic work of Georg…
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\nThe Practice of Statistics is the most trusted program for AP (R) Statistics because it provides teachers and students…
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This is the flash drive for The Practice of Statistics. The Practice of Statistics is the most trusted program for AP (R)…
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Taalman and Kohn's refreshing new textbook is designed to help instructors do just that.Taalman and Kohn's Calculus offers a…
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\nNumerical methods are vital to the practice of chemical engineering, allowing for the solution of real-world problems.…
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![Matematika Algebra and Trigonometry - James Stewart [EN] (2023, Firma, Cengage Learning, Inc)](https://d25-a.sdn.cz/d_25/c_img_od_S/nO0bgvR9rXuvoHE6BEQaiqf/dce2.jpeg?fl=res%2C350%2C350%2C1%2Cfff%7Cwebp%2C80)
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\nDesigned for advanced undergraduate and beginning graduate students in linear of abstract algebra, Advanced Linear Algebra…
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\nThis new edition continues the effort to make the book accessible to a broader audience. Many students who take a real…
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\nThis edition offers a more instructive Preface to assist instructors on developing the course they prefer. The…
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This textbook offers a guided tutorial reviewing the theoretical fundamentals while going through the practical examples…
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Offers an approach to teaching calculus that focuses on major concepts, and supports those concepts with precise…
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Introduction; 1. Definitions and basic properties; 2. Examples and basic constructions; 3. Affine algebraic groups and Hopf…
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This book addresses sample size and power in the context of research, offering valuable insights for graduate and doctoral…
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\nThis book provides a general framework for learning sparse graphical models with conditional independence tests. It…
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\nAn excellent resource for both postgraduate students and researchers in the field of mathematics, this book gives a…
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\nA fresh look to a traditional course in chemical engineering for modern industry. Extensive use of MATLAB (R) and MAPLE…
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\nWritten by more than sixty experts in the area, this book reviews cutting-edge practices in machine learning for financial…
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\nCatering to the needs of students of mathematics and physics, and researchers interested in operator algebras,…
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\nThis book is suitable for graduate level courses in differential geometry, serving both students and teachers. It can also…
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\nThe book contains novel proofs of many results in the theory of partitions and the theory of representations, as well as…
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\nDisease screening and disease surveillance (DSDS) constitute two critical areas in public health, each presenting…
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This book introduces best practices in longitudinal data analysis at intermediate level, with a minimum number of formulas…
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Revised edition of the authors' Technical analysis of stock trends, c2013.…
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