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Pitard Francis F.: Theory of Sampling
and Sampling Practice

Theory of Sampling and Sampling Practice

A Highland Story

Borrowed Land

A Guide to Qualitative Methodologies

Queer and Feminist Research

Chapman & Hall/CRC Biostatistics Series

Group Sequential and Adaptive Methods for Clinical Trials

Agricultural Soil Degradation and Restoration

Agroforestry Solutions for Soil Restoration and Sustainable Land Management

Advances in Rice Research for Abiotic Stress Tolerance, Second Edition provides an updated, comprehensive, and globally relevant resource that reflects the latest scientific advancements in the area. Addressing the challenges posed by climate change, the book provides insights into technological advancements and explores the socioeconomic and policy aspects related to rice cultivation under abiotic stress. With significant abiotic stress challenges impacting yield and quality, this edition is vital for ensuring food security. The book comprehensively covers significant advancements in rice research, particularly regarding abiotic stress tolerance. These include new understanding of genetic markers, innovative breeding techniques, and cutting-edge biotechnological interventions. It also incorporates findings on the role of microbiomes, sustainable farming practices, and tools for genome editing. The latest global trends, challenges, and solutions in rice research are addressed, making it a valuable resource for researchers, educators, and agricultural practitioners.

Advances in Rice Research for Abiotic Stress Tolerance

Jackson Alone

The book is devoted to contemporary variance reduction methods for Monte Carlo and Markov Chain (MCMC) with Machine Learning and Finance applications. We present new approaches based on martingale representations, and Stein control variates besides the standard techniques. In addition, the book focuses on developing new variance reduction algorithms in MCMC and their theoretical analysis. Readers will find numerical examples that illustrate all proposed algorithms.

Advanced Variance Reduction Techniques For Mcmc

The Basics

Bioanthropology: The Basics

Probability theory is a discipline that studies the quantitative regularity of random phenomena. The fact that random phenomena arise, especially in the era of big data and artificial intelligence, determines the importance of this discipline. This volume introduces various concepts that quantitatively describe random phenomena, including probability, random variables, distribution functions, density functions, mathematical expectations, variances, moments, and characteristic functions. It finishes off by presenting probability limit theory, including various convergences.Throughout the volume, great importance is attached to the elaboration of probability thoughts. For this reason, some practical examples to illustrate the introduced concept are always used. In order to meet the needs of different levels of readers, there is a section on Supplements and Notes at the end of each chapter to enhance and expand the content in the body of the textbook. This volume contains a large number of problems of varying levels for the reader with the purpose to review, consolidate, deepen and expand their knowledge.As the only branch of mathematics that studies the quantitative regularity of random phenomena, probability theory has not only theoretical significance, but it is also a main theoretical basis of mathematical statistics. Therefore, it will be of interest to scholars from other disciplines related to random phenomena.

Probability Theory: An Elementary Course

Metallophytes in Mineral Mining

Collins New Naturalist Library

The honey bee has had an intimate and continuous association with mankind for thousands of years, and remains of vital importance today, both for humanity and for all life on Earth.

The Honey Bee

Theory of Sampling and Sampling Practice

Informations bibliographiques

Mots-clés

Informations bibliographiques

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