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Experimental Design For Biologists Secon

taking the very popular experimental design courses taught by the author, this second edition of Experimental Design for Biologists retains the;

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Optimal Experimental Design for Non-Linear Models

This book tackles the Optimal Non-Linear Experimental Design problem from an applications perspective. At the same time it offers extensive;

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Proceedings of SECON'19

Management (SECON'19), held in Angamaly, Kerala, India, on 15-16 May 2019. The meeting served as a fertile platform for discussion, sharing sound;

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Proceedings of SECON 2020

Management (SECON'20), held in Angamaly, Kerala, India, on 14-15 May 2020. The meeting served as a fertile platform for discussion, sharing sound;

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Proceedings of SECON'19

Management (SECON'19), held in Angamaly, Kerala, India, on 15-16 May 2019. The meeting served as a fertile platform for discussion, sharing sound;

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Statistics For Microarrays

data to obtaining meaningful results. Provides an overview of statistics for microarrays, including experimental design, data preparation;

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An Introduction To Experimental Design And Statistics For Biology

, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and;

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Experimental Design for Laboratory Biologists

Specifically intended for lab-based biomedical researchers, this practical guide shows how to design experiments that are reproducible;

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Experimental Design for Laboratory Biologists

Specifically intended for lab-based biomedical researchers, this practical guide shows how to design experiments that are reproducible;

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Engineering Genetic Circuits

regulatory networks, Engineering Genetic Circuits presents the modeling, analysis, and design methods for systems biology. It discusses how to;

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Engineering Genetic Circuits

regulatory networks, Engineering Genetic Circuits presents the modeling, analysis, and design methods for systems biology. It discusses how to;

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Optimal Experimental Design with R

process for constructing experimental designs and calculating necessary sample size using R programs Teaches by example using a custom made R;

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Optimal Experimental Design with R

process for constructing experimental designs and calculating necessary sample size using R programs Teaches by example using a custom made R;

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Chemoinformatics for Drug Discovery

describes the impact of different approaches on experimental or pharmaceutical research. A valuable resource for computational, medicinal;

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Aquatic Mesocosm Studies in Ecological Risk Assessment

of such studies and how they influence experimental design. Advantages and disadvantages of various statistical designs are addressed in detail;

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Experimental Design for the Life Sciences

-and-error process, wasting valuable time and valuable resources.Experimental Design for the Life Sciences teaches the reader how;

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Computer-Aided Vaccine Design

Computational pre-screening of antigens is now routinely applied to the discovery of vaccine candidates. Computer-aided vaccine design;

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Experimental Design for the Life Sciences

-and-error process, wasting valuable time and resources. Experimental Design for the Life Sciences teaches the reader how to effectively design;

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Experiment Design for Life Science 2E P

-and-error process, wasting valuable time and valuable resources.Experimental Design for the Life Sciences teaches the reader how;

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Design and Analysis of Experiments, 3 Volume Set

. Each volume is an ideal textbook for graduate courses in experimental design and also serves as a practical, hands-on reference for;

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Design and Analysis of Experiments with R

for a one-semester or two-quarter course on experimental design, this text covers classical ideas in experimental design as well as the latest;

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Radio Tracking and Animal Populations

be evaluated using radiotelemetry technology - experimental design, equipment and technology, animal movement, resource selection, and;

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Quality by Experimental Design

in Engineering, Applied Science, Quality, and Six Sigma This bestselling, applied text continues to cover a broad range of experimental designs for;

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Quality by Experimental Design

cover a broad range of experimental designs for practical use in applied research, quality and process engineering, and product development;

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Microarray Quality Control

comprehensive resource for ensuring quality control in every step of this complex process. From experimental design to data processing, analysis, and;

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Experimental Design in Biotechnology

be an effective problem solving tool. It presents experimental designs which are useful for small screening and response surface experiments.;

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Microarray Technology in Practice

>Cohesive overview of the technology and available platforms, followed by detailed discussion of experimental design and analysis of microarray;

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