Skip to main content

and
  1. No Access

    Article

    Scenario of Major Fruit Crops in Flood-Prone Areas in Eastern India: Case Study of Bihar

    Flooding is a recurrent phenomenon in South Asian countries during the monsoon season. In the state of Bihar in eastern India, 55% of the geographical area is vulnerable to flood each year. Flood-tolerant frui...

    Rohan Kumar Raman, Dhiraj Kumar Singh, Sudip Sarkar, Jaspreet Singh in Erwerbs-Obstbau (2023)

  2. No Access

    Article

    Ability of machine learning models to identify preferred habitat traits of a small indigenous fish (Chanda nama) in a large river of peninsular India

    Physical and chemical parameters of river influence the habitat of fish species in aquatic ecosystems. Fish showed a complex relationship with different aquatic factors in river. Machine learning modeling is a...

    Rohan Kumar Raman, Archan Kanti Das in Environmental Science and Pollution Resear… (2023)

  3. No Access

    Chapter

    Introduction to R Software

    R is a free software environment for statistical computing and graphics. It is a command line-driven program and runs on a wide variety of UNIX platforms, Windows and Mac OS. It is an interpreter, i.e., the us...

    Basant Kumar Das, Dharm Nath Jha in Concept Building in Fisheries Data Analysis (2023)

  4. No Access

    Chapter

    Chi-Square Test of Significance

    Test of significance provides an objective procedure for distinguishing between whether the observed difference signifies any real difference among groups. It indicates whether observed differences between ass...

    Basant Kumar Das, Dharm Nath Jha in Concept Building in Fisheries Data Analysis (2023)

  5. No Access

    Chapter

    Introduction to Electronic Spreadsheet and Microsoft Excel

    Electronic spreadsheets have become essential management tools from financial management to natural resource management. In fisheries data management specifically in research, diversified data need to be proce...

    Basant Kumar Das, Dharm Nath Jha in Concept Building in Fisheries Data Analysis (2023)

  6. No Access

    Chapter

    Analysis of Variance (ANOVA) and Design of Experiments

    Many experiments in fisheries science involve more than two treatment groups. We must not use t-test to compare more than two groups because multiple t-tests performed on the same data set increase likelihood of ...

    Basant Kumar Das, Dharm Nath Jha in Concept Building in Fisheries Data Analysis (2023)

  7. No Access

    Chapter

    Introduction to Graphics in R

    Graphics is extremely useful for data exploration, visualization, analysis and presentation. Presentation of result of statistical analysis is essential for good report writing. Graphical presentation of resul...

    Basant Kumar Das, Dharm Nath Jha in Concept Building in Fisheries Data Analysis (2023)

  8. No Access

    Chapter

    Analysis and Interpretation of Weight-Length Data of Fish

    Most of the fisheries scientists regularly establish weight-length relationship. Typically, such work does not have merit for publication of any good scientific journal. However, fish species biodiversity is h...

    Basant Kumar Das, Dharm Nath Jha in Concept Building in Fisheries Data Analysis (2023)

  9. No Access

    Chapter

    Concept of Sampling Methodologies and Their Applications

    As complete enumeration of a population is very often untenable because of time, cost and various other constraints, a part of the population is studied to draw inferences on the population; and this process i...

    Basant Kumar Das, Dharm Nath Jha in Concept Building in Fisheries Data Analysis (2023)

  10. No Access

    Chapter

    Basic Concept of Hypothesis Testing and Parametric Test

    Statistical analysis is done by many ways, but the majority of biologists use the ‘classical’ statistics which involves testing of null hypothesis using experimental data. In this process we estimate the proba...

    Basant Kumar Das, Dharm Nath Jha in Concept Building in Fisheries Data Analysis (2023)

  11. No Access

    Chapter

    Some Multivariate Analysis Techniques for Fisheries Data

    Biological, physical, behavioural, social and educational phenomena are often characterized by multiple factors or variables. Therefore, any systematic attempt to understand them requires the examination of mu...

    Basant Kumar Das, Dharm Nath Jha in Concept Building in Fisheries Data Analysis (2023)

  12. No Access

    Chapter

    Use of Non-parametric Test in Fisheries Data

    Descriptive statistics usually relates only to summarize or characterize the data and presentation of figures (visual or conceptual). The descriptive statistics may be a mean, median, mode, variance, range, histo...

    Basant Kumar Das, Dharm Nath Jha in Concept Building in Fisheries Data Analysis (2023)

  13. No Access

    Chapter

    Concept of Simple Correlation and Regression

    Acorrelation coefficient (r) is a statistical measure of linear association between or among variables. Correlation can be either positive or negative and approach to zero that depends on the situation and the va...

    Basant Kumar Das, Dharm Nath Jha in Concept Building in Fisheries Data Analysis (2023)

  14. No Access

    Chapter

    Nature and Sources of Data for Inland Fisheries Management

    A couple of decades ago, strategic planning of inland fisheries management was mostly ‘knowledge-driven’, entailing information based on published literature, experiences in the field survey, flow of knowledge...

    Basant Kumar Das, Dharm Nath Jha in Concept Building in Fisheries Data Analysis (2023)

  15. No Access

    Chapter

    Descriptive Statistics for Inland Fisheries Data

    Statistics is basically a way of thinking about data that are variable. More specifically, statistics is a collection of methods for planning/designing studies or experiments, collecting/obtaining data and then.....

    Basant Kumar Das, Dharm Nath Jha in Concept Building in Fisheries Data Analysis (2023)

  16. No Access

    Book

  17. No Access

    Article

    Arsenic Bioaccumulation and Identification of Low-Arsenic-Accumulating Food Fishes for Aquaculture in Arsenic-Contaminated Ponds and Associated Aquatic Ecosystems

    Arsenic-contaminated food including farmed fish is one of the main routes of human exposure. Fish farmed in contaminated environment accumulates arsenic in different tissues with great variability. Thus, it is...

    Santhana Kumar V., Rohan Kumar Raman, Anjon Talukder in Biological Trace Element Research (2022)

  18. No Access

    Chapter

    Role of Soil Microbes to Assess Soil Health

    Maintaining healthy soils are necessary for develo** healthy ecosystems and sustainable agricultural production. It is widely accepted that soil health is a very important management tool to correct unproduc...

    Sudip Sarkar, Rakesh Kumar, Abhay Kumar in Structure and Functions of Pedosphere (2022)

  19. No Access

    Article

    Phytoplankton biomass in relation to flow dynamics: the case of a tropical river Mahanadi, India

    This present study was conducted to extend our understanding on the relationship between Chlorophyll a (Chl a) concentration and hydrological parameters typically flow velocity, environmental variables and trophi...

    Soma Das Sarkar, Amiya Kumar Sahoo, Pranab Gogoi, Rohan Kumar Raman in Tropical Ecology (2019)

  20. No Access

    Article

    Modelling and Forecasting Marine Fish Production in Odisha Using Seasonal ARIMA Model

    Auto-regressive integrated moving average (ARIMA) is one of the most popular models in time series data analysis. In the present study, total marine fish landings (quaterwise) in Odisha during the period 1985...

    Rohan Kumar Raman, T. V. Sathianandan, A. P. Sharma in National Academy Science Letters (2017)