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Titlebook: Concept Building in Fisheries Data Analysis; Basant Kumar Das,Dharm Nath Jha,M. Kartikeyan Book 2023 Narendra Publishing House 2023 Aquacu

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發(fā)表于 2025-3-21 16:54:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Concept Building in Fisheries Data Analysis
編輯Basant Kumar Das,Dharm Nath Jha,M. Kartikeyan
視頻videohttp://file.papertrans.cn/235/234861/234861.mp4
概述Builds up a conceptual foundation of frequently used statistical data analysis tools.Covers both theoretical and practical approaches and its analysis with various standard software packages.Special f
圖書(shū)封面Titlebook: Concept Building in Fisheries Data Analysis;  Basant Kumar Das,Dharm Nath Jha,M. Kartikeyan Book 2023 Narendra Publishing House 2023 Aquacu
描述This authored book is primarily for the readers who are in search of how to use basic concepts of statistics in the field of fishery science. It has been written for the new comers coming in the fishery sector including university students, teachers and research scholars. It enriches the reader’s knowledge of data analysis step by step starting from data collection to its analysis and interpretation along with practical application with real example. It supports readers for enhancing theoretical and practical concept of application of fundamental statistics in fishery domain. Reader may also learn how to analyses data using different statistical software. Each chapter starts with an introduction of the topic followed by statistical concept with example and ends with chapter based question for comprehension purpose. This book is of interest to teachers, researchers, scientists, capacity builders in fishery sciences. Also the book serves as additional reading material for undergraduate and graduate students of fisheries and aquatic sciences..
出版日期Book 2023
關(guān)鍵詞Aquaculture; Fish; Data Analysis; Fisheries; Zoology of Fish
版次1
doihttps://doi.org/10.1007/978-981-19-4411-6
isbn_softcover978-981-19-4413-0
isbn_ebook978-981-19-4411-6
copyrightNarendra Publishing House 2023
The information of publication is updating

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發(fā)表于 2025-3-21 21:59:29 | 只看該作者
Concept of Sampling Methodologies and Their Applications,ed to draw inferences on the population; and this process is known as sampling. According to Mildred Parton, ‘Sampling method is the process or know-how of drawing a definite number of the individuals, cases or the observations from a particular universe, selecting part of a total group for investig
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發(fā)表于 2025-3-22 04:43:48 | 只看該作者
Basic Concept of Hypothesis Testing and Parametric Test,ng experimental data. In this process we estimate the probability that is obtained from the observed results or, something more extreme, if the null hypothesis is true. If the estimated probability (the .-value) is lesser than the significance value, we conclude that null hypothesis is unlikely true
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發(fā)表于 2025-3-22 11:34:31 | 只看該作者
Chi-Square Test of Significance,oups. It indicates whether observed differences between assessment results occur because of sampling error or chance. The experiments in fisheries science are affected by a substantial amount of uncontrolled variations making such tests necessary. Sometimes data are best collected or conveyed nomina
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發(fā)表于 2025-3-22 16:51:50 | 只看該作者
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Analysis of Variance (ANOVA) and Design of Experiments,.-tests performed on the same data set increase likelihood of falsely reporting a significant difference. For testing the significance of means of several independent groups of observations, a powerful parametric statistical approach is analysis of variance (ANOVA). It was developed by one of the fo
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發(fā)表于 2025-3-23 00:44:23 | 只看該作者
Concept of Simple Correlation and Regression, and approach to zero that depends on the situation and the variables under study. When an increase in one variable is paired with the increase in the other variable, then it is known as positive correlation. Length-weight relationship of fish is a popular example. However in the case of negative co
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Analysis and Interpretation of Weight-Length Data of Fish,scientific journal. However, fish species biodiversity is huge, and weight-length relationships are known for a restricted number of species. Establishing weight-length relationship is still required where such relationships are not previously known. To generate baseline information, establishing we
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