ðɛɹˌɑːɹ sˌʌm ɔːltˈɜːnətˌɪvz tə kənvˈɛnʃənəl wˈʌnwˈeɪ ɐnˈæləsˌɪs ʌv vˈɛɹiəns, ˈiː.dʒˈiː.: wˈɛltʃɪz hˌɛɾɚɹˌoʊsɪdˈæstɪk ˈɛf tˈɛst, wˈɛltʃɪz hˌɛɾɚɹˌoʊsɪdˈæstɪk ˈɛf tˈɛst wɪð tɹˈɪmd mˈiːnz ænd wˈɪnsɚɹˌaɪzd vˈɛɹiənsᵻz, bɹˈaʊnfɔːɹsˈaɪð tˈɛst, ˌælɪɡzˈændɚɡˈʌvɚn tˈɛst, dʒˈeɪmz sˈɛkənd ˈɔːɹdɚ tˈɛst ænd kɹˈʌskəlwˈɔliz tˈɛst, ɐvˈeɪləbəl ɪn wˈʌnweɪɾɪsts ˈɑːɹ
There are some alternatives to conventional one-way analysis of variance, e.g.: Welch's heteroscedastic F test, Welch's heteroscedastic F test with trimmed means and Winsorized variances, Brown-Forsythe test, Alexander-Govern test, James second order test and Kruskal-Wallis test, available in onewaytests R