Isbn: 9781119962786 - statistical planning and inference: concepts and applications (25 risultati)

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Hardback. Condizione: New. Explore the foundations of, and cutting-edge developments in, statistics Statistical Planning and Inference: Concepts and Applications delivers a robust introduction to statistical planning and inference, including classical and computer age developments in statistical science. The book examines the challenges faced in statistical planning and inference, exploring the optimum methods identifying limitations and commonly encountered pitfalls. It addresses linear and non-linear statistical inference and discusses noise-effect reduction, error rates, balanced and unbalanced data, model selection, discrimination and classification, truncated and censored data, and experimental designs. Each chapter offers readers problems and solutions and illustrative examples to introduce the concepts and methods discussed within. The book offers: Analysis of both classical theory and modern developments in the field of statistical inference and planningExpansive discussions of linear and non-linear statistical inferenceStatistical problems and solutions to test the reader's progress through and retention of the material contained within Aimed at practitioners and researchers in the field of statistics, Statistical Planning and Inference: Concepts and Applications is also a must-read resource for graduate students, professors, and researchers in the life sciences, agriculture, psychology, education and measurement, sociology, computer and engineering sciences, and all other fields that rely on statistical concepts.…

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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New. Series: Wiley Series in Probability and Statistics. Num Pages: 512 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 244 x 170. . . 2025. 1st Edition. hardcover. . . . .

Condizione: New.

Condizione: New. Series: Wiley Series in Probability and Statistics. Num Pages: 512 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 244 x 170. . . 2025. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.

Condizione: New. This book introduces statistical planning and inference, presenting both classical theory and the major developments in the field. Each chapter presents problems and their solutions along with illustrative examples to introduce concepts and methods, and is .

Hardback. Condizione: New. Explore the foundations of, and cutting-edge developments in, statistics Statistical Planning and Inference: Concepts and Applications delivers a robust introduction to statistical planning and inference, including classical and computer age developments in statistical science. The book examines the challenges faced in statistical planning and inference, exploring the optimum methods identifying limitations and commonly encountered pitfalls. It addresses linear and non-linear statistical inference and discusses noise-effect reduction, error rates, balanced and unbalanced data, model selection, discrimination and classification, truncated and censored data, and experimental designs. Each chapter offers readers problems and solutions and illustrative examples to introduce the concepts and methods discussed within. The book offers: Analysis of both classical theory and modern developments in the field of statistical inference and planningExpansive discussions of linear and non-linear statistical inferenceStatistical problems and solutions to test the reader's progress through and retention of the material contained within Aimed at practitioners and researchers in the field of statistics, Statistical Planning and Inference: Concepts and Applications is also a must-read resource for graduate students, professors, and researchers in the life sciences, agriculture, psychology, education and measurement, sociology, computer and engineering sciences, and all other fields that rely on statistical concepts.…

Buch. Condizione: Neu. Neuware - Explore the foundations of, and cutting-edge developments in, statistics Statistical Planning and Inference: Concepts and Applications delivers a robust introduction to statistical planning and inference, including classical and computer age developments in statistical science. The book examines the challenges faced in statistical planning and inference, exploring the optimum methods identifying limitations and commonly encountered pitfalls. It addresses linear and non-linear statistical inference and discusses noise-effect reduction, error rates, balanced and unbalanced data, model selection, discrimination and classification, truncated and censored data, and experimental designs. Each chapter offers readers problems and solutions and illustrative examples to introduce the concepts and methods discussed within. The book offers: - Analysis of both classical theory and modern developments in the field of statistical inference and planning- Expansive discussions of linear and non-linear statistical inference- Statistical problems and solutions to test the reader's progress through and retention of the material contained within Aimed at practitioners and researchers in the field of statistics, Statistical Planning and Inference: Concepts and Applications is also a must-read resource for graduate students, professors, and researchers in the life sciences, agriculture, psychology, education and measurement, sociology, computer and engineering sciences, and all other fields that rely on statistical concepts.…

Hardcover. Condizione: new. Hardcover. Explore the foundations of, and cutting-edge developments in, statistics Statistical Planning and Inference: Concepts and Applications delivers a robust introduction to statistical planning and inference, including classical and computer age developments in statistical science. The book examines the challenges faced in statistical planning and inference, exploring the optimum methods identifying limitations and commonly encountered pitfalls. It addresses linear and non-linear statistical inference and discusses noise-effect reduction, error rates, balanced and unbalanced data, model selection, discrimination and classification, truncated and censored data, and experimental designs. Each chapter offers readers problems and solutions and illustrative examples to introduce the concepts and methods discussed within. The book offers: Analysis of both classical theory and modern developments in the field of statistical inference and planningExpansive discussions of linear and non-linear statistical inferenceStatistical problems and solutions to test the readers progress through and retention of the material contained within Aimed at practitioners and researchers in the field of statistics, Statistical Planning and Inference: Concepts and Applications is also a must-read resource for graduate students, professors, and researchers in the life sciences, agriculture, psychology, education and measurement, sociology, computer and engineering sciences, and all other fields that rely on statistical concepts. This book introduces statistical planning and inference, presenting both classical theory and the major developments in the field. Each chapter presents problems and their solutions along with illustrative examples to introduce concepts and methods, and is supported by a supplementary website featuring guidance on how to implement methods using R. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condizione: Brand New. 512 pages. 9.70x6.70x9.61 inches. In Stock. This item is printed on demand.

Hardcover. Condizione: new. Hardcover. Explore the foundations of, and cutting-edge developments in, statistics Statistical Planning and Inference: Concepts and Applications delivers a robust introduction to statistical planning and inference, including classical and computer age developments in statistical science. The book examines the challenges faced in statistical planning and inference, exploring the optimum methods identifying limitations and commonly encountered pitfalls. It addresses linear and non-linear statistical inference and discusses noise-effect reduction, error rates, balanced and unbalanced data, model selection, discrimination and classification, truncated and censored data, and experimental designs. Each chapter offers readers problems and solutions and illustrative examples to introduce the concepts and methods discussed within. The book offers: Analysis of both classical theory and modern developments in the field of statistical inference and planningExpansive discussions of linear and non-linear statistical inferenceStatistical problems and solutions to test the readers progress through and retention of the material contained within Aimed at practitioners and researchers in the field of statistics, Statistical Planning and Inference: Concepts and Applications is also a must-read resource for graduate students, professors, and researchers in the life sciences, agriculture, psychology, education and measurement, sociology, computer and engineering sciences, and all other fields that rely on statistical concepts. This book introduces statistical planning and inference, presenting both classical theory and the major developments in the field. Each chapter presents problems and their solutions along with illustrative examples to introduce concepts and methods, and is supported by a supplementary website featuring guidance on how to implement methods using R. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condizione: new. Hardcover. Explore the foundations of, and cutting-edge developments in, statistics Statistical Planning and Inference: Concepts and Applications delivers a robust introduction to statistical planning and inference, including classical and computer age developments in statistical science. The book examines the challenges faced in statistical planning and inference, exploring the optimum methods identifying limitations and commonly encountered pitfalls. It addresses linear and non-linear statistical inference and discusses noise-effect reduction, error rates, balanced and unbalanced data, model selection, discrimination and classification, truncated and censored data, and experimental designs. Each chapter offers readers problems and solutions and illustrative examples to introduce the concepts and methods discussed within. The book offers: Analysis of both classical theory and modern developments in the field of statistical inference and planningExpansive discussions of linear and non-linear statistical inferenceStatistical problems and solutions to test the readers progress through and retention of the material contained within Aimed at practitioners and researchers in the field of statistics, Statistical Planning and Inference: Concepts and Applications is also a must-read resource for graduate students, professors, and researchers in the life sciences, agriculture, psychology, education and measurement, sociology, computer and engineering sciences, and all other fields that rely on statistical concepts. This book introduces statistical planning and inference, presenting both classical theory and the major developments in the field. Each chapter presents problems and their solutions along with illustrative examples to introduce concepts and methods, and is supported by a supplementary website featuring guidance on how to implement methods using R. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…